Triple
T22924096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chhatarpur Municipal Council |
E569249
|
entity |
| Predicate | governs |
P760
|
FINISHED |
| Object | Chhatarpur city |
—
|
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: Chhatarpur city | Statement: [Chhatarpur Municipal Council, governs, Chhatarpur city]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chhatarpur city Context triple: [Chhatarpur Municipal Council, governs, Chhatarpur city]
-
A.
Chhatarpur
chosen
Chhatarpur is a city in central India known as an administrative and commercial center in the Bundelkhand region of Madhya Pradesh.
-
B.
Neemuch
Neemuch is a town in northwestern Madhya Pradesh, India, known as an important agricultural and trading center and for hosting a significant military cantonment.
-
C.
Chhatrapur
Chhatrapur is a town in the Indian state of Odisha that serves as an administrative and commercial center in the region.
-
D.
Samastipur
Samastipur is a city in the Indian state of Bihar known as an important railway junction and agricultural trade center in the region.
-
E.
Jagdalpur
Jagdalpur is a city in the Bastar district of Chhattisgarh, India, known for its tribal culture, dense forests, and proximity to major waterfalls and national parks.
- 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180d7973c8190b09a5690fd1d3f28 |
completed | April 29, 2026, 3:53 a.m. |
Created at: April 17, 2026, 3:43 p.m.