Triple
T3246545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kempegowda International Airport |
E68078
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Kempe Gowda I |
E68748
|
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: Kempe Gowda I | Statement: [Kempegowda International Airport, namedAfter, Kempe Gowda I]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kempe Gowda I Context triple: [Kempegowda International Airport, namedAfter, Kempe Gowda I]
-
A.
Kempe Gowda I
chosen
Kempe Gowda I was a 16th-century chieftain of the Vijayanagara Empire renowned as the founder and planner of the city of Bengaluru in southern India.
-
B.
Vandiyur Mariamman Teppakulam
Vandiyur Mariamman Teppakulam is a large temple tank and sacred water reservoir in Madurai, Tamil Nadu, renowned for its annual float festival dedicated to the goddess Mariamman.
-
C.
Laxmibai
Laxmibai was the wife of the renowned Kannada poet and Jnanpith awardee D. R. Bendre.
-
D.
Kumudavathi
Kumudavathi is a river in the Indian state of Karnataka that serves as a tributary of the Arkavathi River.
-
E.
Tarabai
Tarabai was a prominent Maratha queen and regent known for leading the Maratha resistance against the Mughal Empire in the early 18th century.
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf1a96148190b63bf46209712707 |
completed | March 8, 2026, 5:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b277639508819091390086a3c511d1 |
completed | March 12, 2026, 8:20 a.m. |
Created at: March 8, 2026, 3:09 p.m.