Triple
T14660811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yelahanka |
E344231
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Yelahanka Nadu |
E344231
|
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: Yelahanka Nadu | Statement: [Yelahanka, namedAfter, Yelahanka Nadu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yelahanka Nadu Context triple: [Yelahanka, namedAfter, Yelahanka Nadu]
-
A.
Yelahanka
chosen
Yelahanka is a historic town in present-day Bengaluru, India, known as the early seat of power of the Kempe Gowda dynasty that founded Bangalore.
-
B.
Malabar District
Malabar District was a former administrative region in southwestern India under British rule, later incorporated into the state of Kerala.
-
C.
North Canara
North Canara is a coastal district in the Indian state of Karnataka, known for its Arabian Sea shoreline, Western Ghats forests, and diverse cultural and linguistic heritage.
-
D.
Ramanagara
Ramanagara is a town in the Indian state of Karnataka, known for its silk industry and rocky hills, and for being a major shooting location for the film "Sholay."
-
E.
Kengeri
Kengeri is a suburban locality on the western outskirts of Bengaluru, India, known for its residential areas, educational institutions, and connectivity to the city via road and rail.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51c84448190a1f5fa9ab8a1e2c4 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cdc54a881909d9ea43c26b9d5ef |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:27 a.m.