Triple
T23151327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaugada |
E578329
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Berhampur |
E380945
|
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: Berhampur | Statement: [Jaugada, nearbyCity, Berhampur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berhampur Context triple: [Jaugada, nearbyCity, Berhampur]
-
A.
Berhampur
chosen
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.
-
B.
Cuttack
Cuttack is a historic city in the Indian state of Odisha, known for its centuries-old Barabati Fort, silver filigree work, and role as a major cultural and commercial center.
-
C.
Paralakhemundi
Paralakhemundi is a town in the Indian state of Odisha known for its historical significance, cultural heritage, and role as an administrative and commercial center in the region.
-
D.
Bhanjanagar
Bhanjanagar is a town in the Indian state of Odisha known for its administrative importance and proximity to scenic reservoirs and forests.
-
E.
Bissam Cuttack
Bissam Cuttack is a town in the Rayagada district of Odisha, India, known for its tribal communities and scenic hilly surroundings.
- 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ef982488190984a6358bdcd577c |
completed | April 29, 2026, 4:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c4c6eb15c8190b5ef79521c5cb4b3 |
completed | May 19, 2026, 11:41 a.m. |
Created at: April 17, 2026, 4:01 p.m.