Triple
T16155164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agra district |
E392020
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Fatehabad
Fatehabad is a town in the Agra district of Uttar Pradesh, India, known for its role as a local commercial and administrative center in the region.
|
E1232268
|
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: Fatehabad | Statement: [Agra district, hasTown, Fatehabad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fatehabad Context triple: [Agra district, hasTown, Fatehabad]
-
A.
Fatehabad
Fatehabad is a town in the Indian state of Haryana that serves as an administrative and commercial center for the surrounding region.
-
B.
Saharanpur
Saharanpur is a city in the Indian state of Uttar Pradesh known as a commercial and transportation hub, particularly for its wood carving industry and agricultural trade.
-
C.
Bhiwani
Bhiwani is a city in the Indian state of Haryana known as a regional educational and political hub.
-
D.
Jhunjhunu
Jhunjhunu is a city and district in the northeastern part of Rajasthan, India, known for its historic havelis, rich Marwari heritage, and role as a prominent center of education and military recruitment.
-
E.
Ambala
Ambala is a historic city and important military and transportation hub in the northern Indian state of Haryana.
- 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: Fatehabad Triple: [Agra district, hasTown, Fatehabad]
Generated description
Fatehabad is a town in the Agra district of Uttar Pradesh, India, known for its role as a local commercial and administrative center in the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fatehabad Target entity description: Fatehabad is a town in the Agra district of Uttar Pradesh, India, known for its role as a local commercial and administrative center in the region.
-
A.
Fatehabad
Fatehabad is a town in the Indian state of Haryana that serves as an administrative and commercial center for the surrounding region.
-
B.
Saharanpur
Saharanpur is a city in the Indian state of Uttar Pradesh known as a commercial and transportation hub, particularly for its wood carving industry and agricultural trade.
-
C.
Bhiwani
Bhiwani is a city in the Indian state of Haryana known as a regional educational and political hub.
-
D.
Jhunjhunu
Jhunjhunu is a city and district in the northeastern part of Rajasthan, India, known for its historic havelis, rich Marwari heritage, and role as a prominent center of education and military recruitment.
-
E.
Ambala
Ambala is a historic city and important military and transportation hub in the northern Indian state of Haryana.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5902a08190ad8694955ef6073a |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a5047a7c8190bac0ac9888547d16 |
completed | May 10, 2026, 3:32 p.m. |
| NEDg | Description generation | batch_6a00a685753881908c3fef10823ce569 |
completed | May 10, 2026, 3:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00a7174f5c8190891ddd180c50aee3 |
completed | May 10, 2026, 3:41 p.m. |
Created at: April 10, 2026, 5:01 a.m.