Triple
T13852677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Champaran district |
E332982
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Narkatiaganj |
E1064965
|
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: Narkatiaganj | Statement: [West Champaran district, hasTown, Narkatiaganj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Narkatiaganj Context triple: [West Champaran district, hasTown, Narkatiaganj]
-
A.
Narkatiaganj
chosen
Narkatiaganj is a town and legislative assembly constituency in the West Champaran district of Bihar, India.
-
B.
Keraniganj
Keraniganj is a suburban upazila of Dhaka, Bangladesh, known for its dense population, river-based commerce, and numerous garment and brick industries.
-
C.
Nawabganj
Nawabganj is a town in the Indian state of Uttar Pradesh, known as one of the urban centers within Barabanki district.
-
D.
Rairangpur
Rairangpur is a town and legislative assembly constituency in the Mayurbhanj district of Odisha, India, known as the political base of President Droupadi Murmu.
-
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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02da9460819093a3ec5a3c62ea81 |
completed | April 14, 2026, 9:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0f73838819085d6f052c00fc494 |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:14 p.m.