Triple
T7017627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Highway 37 |
E162734
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object |
Nagaon
Nagaon is a major town and administrative center in the Indian state of Assam, known for its agricultural economy and strategic location in the Brahmaputra Valley.
|
E652315
|
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: Nagaon | Statement: [National Highway 37, connects, Nagaon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nagaon Context triple: [National Highway 37, connects, Nagaon]
-
A.
Tinsukia
Tinsukia is a town in Assam, India, known as a commercial hub of the region and a gateway to nearby wildlife-rich areas such as Dibru-Saikhowa National Park.
-
B.
Purnea
Purnea is a prominent city in the Indian state of Bihar, known as a commercial and educational hub for the surrounding northeastern region.
-
C.
Muktainagar
Muktainagar is a town in the Jalgaon district of Maharashtra, India, known primarily as an agricultural and trading center in the region.
-
D.
Malda
Malda is a town in eastern India known as a commercial hub and historic gateway to the northern districts of West Bengal.
-
E.
Sainthia
Sainthia is a town in the Birbhum district of West Bengal, India, known as a local commercial and cultural center.
- 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: Nagaon Triple: [National Highway 37, connects, Nagaon]
Generated description
Nagaon is a major town and administrative center in the Indian state of Assam, known for its agricultural economy and strategic location in the Brahmaputra Valley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nagaon Target entity description: Nagaon is a major town and administrative center in the Indian state of Assam, known for its agricultural economy and strategic location in the Brahmaputra Valley.
-
A.
Tinsukia
Tinsukia is a town in Assam, India, known as a commercial hub of the region and a gateway to nearby wildlife-rich areas such as Dibru-Saikhowa National Park.
-
B.
Purnea
Purnea is a prominent city in the Indian state of Bihar, known as a commercial and educational hub for the surrounding northeastern region.
-
C.
Muktainagar
Muktainagar is a town in the Jalgaon district of Maharashtra, India, known primarily as an agricultural and trading center in the region.
-
D.
Malda
Malda is a town in eastern India known as a commercial hub and historic gateway to the northern districts of West Bengal.
-
E.
Sainthia
Sainthia is a town in the Birbhum district of West Bengal, India, known as a local commercial and cultural center.
- 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_69c6885a127c8190867b059bdccf13ff |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1e79c108190a507335e9dbf2716 |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d36fd638819095d7a431026905f7 |
completed | March 28, 2026, 1:11 p.m. |
| NEDg | Description generation | batch_69c7d4dd5c588190b9129f0c132d91d3 |
completed | March 28, 2026, 1:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7d58b19e48190b9fdb1181387acea |
completed | March 28, 2026, 1:20 p.m. |
Created at: March 27, 2026, 2:34 p.m.