Triple
T15648268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banaskantha district |
E376236
|
entity |
| Predicate | hasNotablePlace |
P10233
|
FINISHED |
| Object | Ambaji |
E529940
|
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: Ambaji | Statement: [Banaskantha district, hasNotablePlace, Ambaji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ambaji Context triple: [Banaskantha district, hasNotablePlace, Ambaji]
-
A.
Ambaji
chosen
Ambaji is a revered form of the Hindu goddess Shakti, worshipped as a principal manifestation of the Divine Mother in western India.
-
B.
Abijo
Abijo is a suburban community in the Lekki area of Lagos State, Nigeria, situated along the Lekki–Epe development corridor.
-
C.
Abur
Abur is the traditional name for the Old Permic alphabet, an early writing system used for the Komi language in the medieval Perm region of Russia.
-
D.
Awaba
Awaba is an Aboriginal name historically used for Lake Macquarie, a large coastal lake in New South Wales, Australia.
-
E.
Ambezza
Ambezza is a German hip-hop producer best known for crafting beats for major international artists, including co-producing DaBaby’s hit single "ROCKSTAR."
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed7212c8190be6ff76afa25f7ca |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff67936e388190913c9060194e5b53 |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 10, 2026, 4:15 a.m.