Triple
T12895198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Begusarai district |
E308474
|
entity |
| Predicate | majorIndustrialArea |
P3436
|
FINISHED |
| Object | Barauni |
E999663
|
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: Barauni | Statement: [Begusarai district, majorIndustrialArea, Barauni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barauni Context triple: [Begusarai district, majorIndustrialArea, Barauni]
-
A.
Barauni
chosen
Barauni is a major industrial town in Bihar, India, known for its large oil refinery and petrochemical complex.
-
B.
Bhadohi
Bhadohi is a city in Uttar Pradesh, India, renowned as a major center for carpet weaving and often referred to as the "Carpet City" of the country.
-
C.
Barabanki
Barabanki is a town and district headquarters in the Indian state of Uttar Pradesh, known for its agricultural economy and proximity to the state capital, Lucknow.
-
D.
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.
-
E.
Begusarai
Begusarai is an industrial and agricultural city in the Indian state of Bihar, known for its oil refinery and role as a regional commercial hub.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9717d859481908957510babac2d69 |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0e54dc48190acf120ca5fe516ab |
completed | May 3, 2026, 3:28 a.m. |
Created at: April 9, 2026, 5:40 p.m.