Triple
T7733353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dibrugarh district |
E175318
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object |
Naharkatia
Naharkatia is a prominent town in Assam, India, known historically for its tea gardens and oil fields.
|
E688576
|
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: Naharkatia | Statement: [Dibrugarh district, hasMajorTown, Naharkatia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naharkatia Context triple: [Dibrugarh district, hasMajorTown, Naharkatia]
-
A.
Nalhati
Nalhati is a town in the Birbhum district of West Bengal, India, known for its religious significance and regional marketplace.
-
B.
Naihati
Naihati is a town in West Bengal, India, known as the birthplace of renowned Bengali novelist and nationalist Bankim Chandra Chattopadhyay.
-
C.
Bhatapara
Bhatapara is a regional dialect of the Chhattisgarhi language spoken in and around the town of Bhatapara in the Indian state of Chhattisgarh.
-
D.
Karanpur
Karanpur is a town located in the Ganganagar district of the northern Indian state of Rajasthan.
-
E.
Partapur
Partapur is a locality in Meerut district of Uttar Pradesh, India, known for its proximity to the Dr. Bhimrao Ambedkar Airstrip and its growing urban and institutional development.
- 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: Naharkatia Triple: [Dibrugarh district, hasMajorTown, Naharkatia]
Generated description
Naharkatia is a prominent town in Assam, India, known historically for its tea gardens and oil fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Naharkatia Target entity description: Naharkatia is a prominent town in Assam, India, known historically for its tea gardens and oil fields.
-
A.
Nalhati
Nalhati is a town in the Birbhum district of West Bengal, India, known for its religious significance and regional marketplace.
-
B.
Naihati
Naihati is a town in West Bengal, India, known as the birthplace of renowned Bengali novelist and nationalist Bankim Chandra Chattopadhyay.
-
C.
Bhatapara
Bhatapara is a regional dialect of the Chhattisgarhi language spoken in and around the town of Bhatapara in the Indian state of Chhattisgarh.
-
D.
Karanpur
Karanpur is a town located in the Ganganagar district of the northern Indian state of Rajasthan.
-
E.
Partapur
Partapur is a locality in Meerut district of Uttar Pradesh, India, known for its proximity to the Dr. Bhimrao Ambedkar Airstrip and its growing urban and institutional development.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7033863d881909451a4f9675021a3 |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8dea75df88190b0d1187e57dcfddb |
completed | March 29, 2026, 8:11 a.m. |
| NEDg | Description generation | batch_69c8df35b6908190866d315cffca8f30 |
completed | March 29, 2026, 8:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8e04222808190ad04746674f241aa |
completed | March 29, 2026, 8:18 a.m. |
Created at: March 27, 2026, 4:06 p.m.