Triple
T1477229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chhattisgarh |
E30868
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Bilaspur |
E205384
|
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: Bilaspur | Statement: [Chhattisgarh, hasMajorCity, Bilaspur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bilaspur Context triple: [Chhattisgarh, hasMajorCity, Bilaspur]
-
A.
Bilaspur
chosen
Bilaspur is a major city in the Indian state of Chhattisgarh, known as an important administrative, commercial, and judicial center.
-
B.
Alirajpur
Alirajpur is a town and district headquarters in western Madhya Pradesh, India, known for its predominantly tribal population and vibrant indigenous culture.
-
C.
Narsinghpur
Narsinghpur is a city and administrative center in central India known for its agricultural economy, particularly sugarcane and pulses, within the state of Madhya Pradesh.
-
D.
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.
-
E.
Bhilai
Bhilai is an industrial city in central India best known for its large steel plant and planned 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c603f9e88190b340734709534860 |
completed | March 1, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf2ab134819090727cc68ff5c02e |
completed | March 8, 2026, 8:42 p.m. |
Created at: March 1, 2026, 8:11 p.m.