Triple
T10372939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darbhanga division |
E244428
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Darbhanga |
E850828
|
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: [Darbhanga division, namedAfter, Darbhanga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darbhanga Context triple: [Darbhanga division, namedAfter, Darbhanga]
-
A.
Darbhanga
chosen
Darbhanga is a major city in the Indian state of Bihar, known as a cultural and educational center of the Mithila region.
-
B.
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.
-
C.
Rampurhat
Rampurhat is a town and important railway junction in the Birbhum district of West Bengal, India.
-
D.
Purnea
Purnea is a prominent city in the Indian state of Bihar, known as a commercial and educational hub for the surrounding northeastern region.
-
E.
Lakhnauti
Lakhnauti is the medieval name of the historic city of Gaur, a major political and cultural center of the Bengal Sultanate in eastern India.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e97f8a148190bb04996132cd464a |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc1eb7348190b9f3c473443bacf3 |
completed | April 10, 2026, 11:16 a.m. |
Created at: April 6, 2026, 12:02 p.m.