Triple
T6367958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jalgaon district |
E143273
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Chalisgaon
Chalisgaon is a town in the Indian state of Maharashtra known for its railway junction and proximity to historical and religious sites.
|
E589698
|
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: Chalisgaon | Statement: [Jalgaon district, hasTown, Chalisgaon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chalisgaon Context triple: [Jalgaon district, hasTown, Chalisgaon]
-
A.
Krishnanagar
Krishnanagar is a historic town in eastern India known for its cultural heritage, temples, and traditional clay artistry.
-
B.
Baranagar
Baranagar is a densely populated suburban city in the northern part of Kolkata, India, known for its industrial areas, educational institutions, and cultural heritage.
-
C.
Sainthia
Sainthia is a town in the Birbhum district of West Bengal, India, known as a local commercial and cultural center.
-
D.
Rampurhat
Rampurhat is a town and important railway junction in the Birbhum district of West Bengal, India.
-
E.
Raiganj
Raiganj is a town in northern West Bengal, India, known as the headquarters of Uttar Dinajpur district and for its nearby Raiganj Wildlife Sanctuary.
- 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: Chalisgaon Triple: [Jalgaon district, hasTown, Chalisgaon]
Generated description
Chalisgaon is a town in the Indian state of Maharashtra known for its railway junction and proximity to historical and religious sites.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chalisgaon Target entity description: Chalisgaon is a town in the Indian state of Maharashtra known for its railway junction and proximity to historical and religious sites.
-
A.
Krishnanagar
Krishnanagar is a historic town in eastern India known for its cultural heritage, temples, and traditional clay artistry.
-
B.
Baranagar
Baranagar is a densely populated suburban city in the northern part of Kolkata, India, known for its industrial areas, educational institutions, and cultural heritage.
-
C.
Sainthia
Sainthia is a town in the Birbhum district of West Bengal, India, known as a local commercial and cultural center.
-
D.
Rampurhat
Rampurhat is a town and important railway junction in the Birbhum district of West Bengal, India.
-
E.
Raiganj
Raiganj is a town in northern West Bengal, India, known as the headquarters of Uttar Dinajpur district and for its nearby Raiganj Wildlife Sanctuary.
- 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_69c008d8c61081908bcaf61510d881ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c068251ae48190af8201d5f9ad35b6 |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6386f361c819098dbe01b0cb07b06 |
completed | March 27, 2026, 7:57 a.m. |
| NEDg | Description generation | batch_69c6395e934c81909bfa10ee1b8e517f |
completed | March 27, 2026, 8:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c63a0a4a108190b474555d8cb1540c |
completed | March 27, 2026, 8:04 a.m. |
Created at: March 22, 2026, 4:32 p.m.