Triple
T13070977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gonda village, Chitrakoot district |
E329454
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Uttar Pradesh road network
The Uttar Pradesh road network is an extensive system of national and state highways, district and rural roads that connects cities, towns, and villages across India’s most populous state.
|
E1020446
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Uttar Pradesh road network | Statement: [Gonda village, Chitrakoot district, partOf, Uttar Pradesh road network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uttar Pradesh road network Context triple: [Gonda village, Chitrakoot district, partOf, Uttar Pradesh road network]
-
A.
National Highway network of India
The National Highway network of India is an extensive system of primary roadways that connects major cities, ports, and regions across the country, facilitating long-distance travel and economic activity.
-
B.
Madhya Pradesh State Highway network
The Madhya Pradesh State Highway network is a system of major intra-state roads that connects cities, towns, and key regions across the central Indian state of Madhya Pradesh, facilitating regional transport and economic activity.
-
C.
Punjab state highways
Punjab state highways are a network of major intra-state roads in the Indian state of Punjab that connect cities, towns, and rural areas, supporting regional mobility and economic activity.
-
D.
National Highway network of Karnataka
The National Highway network of Karnataka is an extensive system of major roads that connects key cities, towns, and economic hubs across the Indian state of Karnataka and links it to neighboring states.
-
E.
Delhi road network
The Delhi road network is an extensive system of arterial roads, ring roads, and highways that connects the Indian capital’s districts and links it to surrounding regions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Uttar Pradesh road network Triple: [Gonda village, Chitrakoot district, partOf, Uttar Pradesh road network]
Generated description
The Uttar Pradesh road network is an extensive system of national and state highways, district and rural roads that connects cities, towns, and villages across India’s most populous state.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Uttar Pradesh road network Target entity description: The Uttar Pradesh road network is an extensive system of national and state highways, district and rural roads that connects cities, towns, and villages across India’s most populous state.
-
A.
National Highway network of India
The National Highway network of India is an extensive system of primary roadways that connects major cities, ports, and regions across the country, facilitating long-distance travel and economic activity.
-
B.
Madhya Pradesh State Highway network
The Madhya Pradesh State Highway network is a system of major intra-state roads that connects cities, towns, and key regions across the central Indian state of Madhya Pradesh, facilitating regional transport and economic activity.
-
C.
Punjab state highways
Punjab state highways are a network of major intra-state roads in the Indian state of Punjab that connect cities, towns, and rural areas, supporting regional mobility and economic activity.
-
D.
National Highway network of Karnataka
The National Highway network of Karnataka is an extensive system of major roads that connects key cities, towns, and economic hubs across the Indian state of Karnataka and links it to neighboring states.
-
E.
Delhi road network
The Delhi road network is an extensive system of arterial roads, ring roads, and highways that connects the Indian capital’s districts and links it to surrounding regions.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980ee6130819095d835e7ff6a8c5b |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d60510dc81909e0cba8b63a50d9c |
completed | May 3, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69f6dbb4b8848190825102be81ff693a |
completed | May 3, 2026, 5:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6dc705f28819087e5d374f83d3acc |
completed | May 3, 2026, 5:26 a.m. |
Created at: April 9, 2026, 9 p.m.