Triple
T17670837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pimple Nilakh |
E440515
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Wakad |
—
|
NE NERFINISHED |
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: Wakad | Statement: [Pimple Nilakh, locatedNear, Wakad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wakad Context triple: [Pimple Nilakh, locatedNear, Wakad]
-
A.
Wakad
chosen
Wakad is a rapidly developing residential and commercial suburb in the Pimpri-Chinchwad area of Pune, Maharashtra, known for its proximity to the Hinjawadi IT hub and strong connectivity.
-
B.
Wakata
Wakata is a Japanese surname most notably associated with astronaut Koichi Wakata, a veteran Japan Aerospace Exploration Agency (JAXA) spacefarer.
-
C.
Wakaya
Wakaya is a privately owned island in Fiji renowned for its exclusive luxury resort, pristine beaches, and surrounding coral reefs.
-
D.
Wako
Wako is a suburban city in Saitama Prefecture, Japan, located on the northern outskirts of Tokyo and known as a residential and commuter hub.
-
E.
Wadō
Wadō was a Japanese era of the early Nara period, notable for the discovery of copper in Chichibu and the issuance of Japan’s first official coinage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f68a038819084828ff73bcf1fcc |
completed | April 19, 2026, 6 a.m. |
Created at: April 10, 2026, 9:59 a.m.