Triple
T3622168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orissa |
E76751
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Sambalpur |
E66522
|
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: Sambalpur | Statement: [Orissa, hasMajorCity, Sambalpur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sambalpur Context triple: [Orissa, hasMajorCity, Sambalpur]
-
A.
Sambalpur
chosen
Sambalpur is a historic city and former princely region in western Odisha, India, known for its cultural heritage, textile traditions, and role in 19th-century colonial-era political events.
-
B.
Chaibasa
Chaibasa is a town in eastern India that serves as the administrative headquarters of West Singhbhum district in the state of Jharkhand.
-
C.
Contai
Contai is a coastal town in eastern India known as a regional commercial and transport hub in the Purba Medinipur district of West Bengal.
-
D.
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.
-
E.
Berhampur
Berhampur is a major commercial and educational city in the Indian state of Odisha, known especially for its trade, textiles, and proximity to the Gopalpur-on-Sea beach.
- 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_69ad85dae2fc81908d1ceadbc6af0089 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2bb12cc8190bd67597cf3b66a3a |
completed | March 8, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4cddcfeec8190920648ec66b2a53c |
completed | March 14, 2026, 2:54 a.m. |
Created at: March 8, 2026, 3:23 p.m.