Triple
T8064462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jindal Vijaynagar Airport |
E188207
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object | Bellary |
E34707
|
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: Bellary | Statement: [Jindal Vijaynagar Airport, servesCity, Bellary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bellary Context triple: [Jindal Vijaynagar Airport, servesCity, Bellary]
-
A.
Bellary
chosen
Bellary is a historic city in the Indian state of Karnataka, known for its rich mineral resources, especially iron ore, and its role as an important administrative and commercial center.
-
B.
Kalaburagi
Kalaburagi is a major city in the northern part of the Indian state of Karnataka, known historically as Gulbarga and noted for its rich heritage and architectural monuments from the Bahmani Sultanate era.
-
C.
Warangal
Warangal is a historic city in southern India known for its Kakatiya-era forts, temples, and monuments, and is one of the major urban centers of the state of Telangana.
-
D.
Khammam
Khammam is a city in the Indian state of Telangana known for its historical forts, temples, and proximity to the Munneru River.
-
E.
Nandyal
Nandyal is a city in the Indian state of Andhra Pradesh, known as a commercial and administrative center in the Rayalaseema region.
- 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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fd07fd08190a3b61cb3369ee6a6 |
completed | March 31, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce8828faf48190927b2a6680f6b4d8 |
completed | April 2, 2026, 3:15 p.m. |
Created at: March 30, 2026, 5:26 p.m.