Triple
T17670908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aundh |
E440516
|
entity |
| Predicate | hasNearbyLocality |
P3883
|
FINISHED |
| Object | Pimple Nilakh |
—
|
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: Pimple Nilakh | Statement: [Aundh, hasNearbyLocality, Pimple Nilakh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pimple Nilakh Context triple: [Aundh, hasNearbyLocality, Pimple Nilakh]
-
A.
Pimple Nilakh
chosen
Pimple Nilakh is a rapidly developing residential suburb of Pune, Maharashtra, known for its proximity to the Hinjewadi IT hub and growing urban infrastructure.
-
B.
Boven Digul
Boven Digul is a remote regency in Papua, Indonesia, known for its dense rainforests and historical role as a Dutch colonial exile camp area.
-
C.
Puluwat
Puluwat is a small atoll in the Federated States of Micronesia known for its traditional navigation practices and Micronesian culture.
-
D.
Nanga
Nanga is a subgroup of the Dogon languages spoken by the Dogon people of Mali in West Africa.
-
E.
Kala Amb
Kala Amb is a historically significant site near Panipat in Haryana, India, associated with one of the major Battles of Panipat.
- 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.