Triple
T23087661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sohagpur coalfield |
E575654
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Sohagpur town |
—
|
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: Sohagpur town | Statement: [Sohagpur coalfield, locatedNear, Sohagpur town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sohagpur town Context triple: [Sohagpur coalfield, locatedNear, Sohagpur town]
-
A.
Sohagpur
chosen
Sohagpur is a town in the Narmadapuram district of Madhya Pradesh, India, known as a local commercial center and access point to nearby forested and wildlife areas.
-
B.
Santalpur
Santalpur is a small town in the Patan district of Gujarat, India, known primarily as a local administrative and trading center for surrounding rural areas.
-
C.
Bhagwanpur
Bhagwanpur is a legislative assembly constituency in the Haridwar district of Uttarakhand, India.
-
D.
Sohna town
Sohna town is a rapidly developing suburban area in Haryana, India, known for its hot springs, proximity to the Aravalli hills, and growing residential and commercial hubs.
-
E.
Sadulpur
Sadulpur is a town in the Churu district of Rajasthan, India, known as the birthplace of steel magnate Lakshmi Mittal.
- 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18da7c54c81908b62d04ab1811b06 |
completed | April 29, 2026, 4:48 a.m. |
Created at: April 17, 2026, 3:57 p.m.