Triple
T12375820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vikramashila monastery ruins |
E295119
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Kahalgaon |
E693770
|
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: Kahalgaon | Statement: [Vikramashila monastery ruins, locatedNear, Kahalgaon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kahalgaon Context triple: [Vikramashila monastery ruins, locatedNear, Kahalgaon]
-
A.
Kahalgaon
chosen
Kahalgaon is a town in the Bhagalpur district of Bihar, India, known for its thermal power station and proximity to the historic Vikramshila university site.
-
B.
Kajalgaon
Kajalgaon is a town in the Indian state of Assam that serves as the administrative center of Chirang district.
-
C.
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.
-
D.
Chalisgaon
Chalisgaon is a town in the Indian state of Maharashtra known for its railway junction and proximity to historical and religious sites.
-
E.
Purnia
Purnia is a major city in northeastern India known as a commercial and agricultural hub of the Seemanchal 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fb8d6c081909e8bbbd52c73f29c |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f634760210819080bc0261aa059132 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:54 p.m.