Triple
T2292712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mithila region |
E51540
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Darbhanga |
E50716
|
NE FINISHED |
How this triple was built (2 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: Darbhanga | Statement: [Mithila region, majorCity, Darbhanga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darbhanga Context triple: [Mithila region, majorCity, Darbhanga]
-
A.
Buxar
Buxar is a historic town in the Indian state of Bihar, best known as the site of a pivotal 1764 battle that cemented British colonial dominance in northern India.
-
B.
Purulia
Purulia is a town in eastern India known as the administrative headquarters of Purulia district and for its distinctive Chhau dance and scenic, hilly landscape.
-
C.
Darbhanga district
chosen
Darbhanga district is a region in the northern part of Bihar, India, known as a cultural and historical center of the Mithila area.
-
D.
Jangipur
Jangipur is a town in the Murshidabad district of the Indian state of West Bengal, known for its administrative significance and proximity to the Ganges River.
-
E.
Karimganj
Karimganj is a town in the Indian state of Assam, known as a commercial and administrative center near the India–Bangladesh border.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5b50df481908a3d8f71d245e8fa |
completed | March 7, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3b974d881909b35dfd08def7b80 |
completed | March 9, 2026, 11:49 a.m. |
Created at: March 4, 2026, 7:48 p.m.