Triple
T20821732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Izatnagar railway station |
E512590
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Izatnagar |
—
|
NE NERFINISHED |
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: Izatnagar | Statement: [Izatnagar railway station, locatedIn, Izatnagar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Izatnagar Context triple: [Izatnagar railway station, locatedIn, Izatnagar]
-
A.
Izatnagar
chosen
Izatnagar is a locality in Bareilly, Uttar Pradesh, India, known primarily as a major railway hub and the site of the Indian Veterinary Research Institute.
-
B.
Kishanganj
Kishanganj is a town and district headquarters in the northeastern part of the Indian state of Bihar, known for its significant Muslim population and proximity to the borders of West Bengal and Nepal.
-
C.
Wazirganj
Wazirganj is a town in the Gaya district of Bihar, India, known primarily as a local administrative and market center for surrounding rural areas.
-
D.
Harishpur
Harishpur is a historical port town in the Indian state of Odisha that served as an important maritime outlet during the Mughal period.
-
E.
Rampurhat
Rampurhat is a town and important railway junction in the Birbhum district of West Bengal, India.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2f7a1548190b6ef3f1cfad37c1c |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:41 p.m.