Triple
T6967830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Uttar Pradesh |
E161531
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Bulandshahr |
E402443
|
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: Bulandshahr | Statement: [Western Uttar Pradesh, majorCity, Bulandshahr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bulandshahr Context triple: [Western Uttar Pradesh, majorCity, Bulandshahr]
-
A.
Bulandshahr
chosen
Bulandshahr is a city in the Indian state of Uttar Pradesh known for its historical significance and proximity to Delhi within the broader metropolitan region.
-
B.
Bareilly
Bareilly is a historic city in the Indian state of Uttar Pradesh, known as a major center of the 1857 uprising against British colonial rule and now an important commercial and cultural hub.
-
C.
Moradabad
Moradabad is a major city in northern India known for its brass handicraft industry and is located in the state of Uttar Pradesh.
-
D.
Shahjahanpur
Shahjahanpur is a prominent city in the Rohilkhand region of Uttar Pradesh, India, known for its historical significance and regional commercial importance.
-
E.
Muzaffarnagar
Muzaffarnagar is a city in the Indian state of Uttar Pradesh, known as an agricultural and industrial center in the fertile Ganges-Yamuna Doab region.
- 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_69c68853cff881908439d488924a8283 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db1373d88190967b42630f8688d6 |
completed | March 27, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d36fd638819095d7a431026905f7 |
completed | March 28, 2026, 1:11 p.m. |
Created at: March 27, 2026, 2:30 p.m.