Triple
T22120258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dindori (Lok Sabha constituency) |
E546645
|
entity |
| Predicate | containsAssemblySegments |
P63908
|
FINISHED |
| Object | Chandwad |
—
|
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: Chandwad | Statement: [Dindori (Lok Sabha constituency), containsAssemblySegments, Chandwad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chandwad Context triple: [Dindori (Lok Sabha constituency), containsAssemblySegments, Chandwad]
-
A.
Chandwad
chosen
Chandwad is a town in the Nashik district of Maharashtra, India, known for its historical temples and hill forts.
-
B.
Dantiwada
Dantiwada is a small town in Gujarat, India, known primarily for its agricultural university and proximity to the Dantiwada Dam in Banaskantha district.
-
C.
Bhusawal
Bhusawal is a major railway and commercial city in Maharashtra, India, known for its large railway junction and banana-growing region.
-
D.
Chandkheda
Chandkheda is a residential and industrial locality in the northwestern part of Ahmedabad, Gujarat, known for its proximity to major infrastructure and educational institutions.
-
E.
Vithalwadi
Vithalwadi is a suburban railway station in the Mumbai metropolitan area that serves local commuters on the Central Line.
- 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12951fcd48190841319cd879c15cb |
completed | April 28, 2026, 9:40 p.m. |
Created at: April 16, 2026, 8:31 p.m.