Triple
T7356258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chief Minister of Chhattisgarh |
E169632
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object | Raipur |
E260617
|
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: Raipur | Statement: [Chief Minister of Chhattisgarh, seat, Raipur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raipur Context triple: [Chief Minister of Chhattisgarh, seat, Raipur]
-
A.
Raipur
chosen
Raipur is a major city in central India that serves as the commercial and administrative hub of the state of Chhattisgarh.
-
B.
Jabalpur
Jabalpur is a major city in the central Indian state of Madhya Pradesh, known for its industrial base, educational institutions, and nearby marble rock formations along the Narmada River.
-
C.
Naya Raipur
Naya Raipur is a planned city in the Indian state of Chhattisgarh that serves as its modern administrative capital.
-
D.
Silvassa
Silvassa is an industrial and commercial town in western India that serves as the capital and main urban center of the union territory of Dadra and Nagar Haveli and Daman and Diu.
-
E.
Indore
Indore is a major commercial and educational hub in central India, known for its vibrant markets, food culture, and rapidly growing urban infrastructure.
- 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_69c68a59f2288190877ca15c19b1e822 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f13a62e48190a2d1781a630aa9f0 |
completed | March 27, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84ee2397481909552cec2d4b90cc5 |
completed | March 28, 2026, 9:57 p.m. |
Created at: March 27, 2026, 3:05 p.m.