Triple
T13670036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upolu |
E327723
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Vaitele |
E602164
|
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: Vaitele | Statement: [Upolu, hasSettlement, Vaitele]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vaitele Context triple: [Upolu, hasSettlement, Vaitele]
-
A.
Vaitele
chosen
Vaitele is a town on the island of Upolu in Samoa, situated near the capital Apia and functioning as a growing residential and industrial area.
-
B.
Talavan
Talavan is one of the twelve sacred forests of the Vraja (Vrindavan) region in Hindu tradition, associated with the pastimes of Lord Krishna.
-
C.
Vaala
Vaala is a municipality in northern Finland known for its lakeside landscapes and location along the Oulujoki river.
-
D.
Vaali
Vaali is a 1999 Tamil psychological thriller film starring Ajith Kumar in dual roles, widely regarded as one of his breakthrough performances.
-
E.
Vahto
Vahto is a small village and former municipality in Southwest Finland, now part of the town of Rusko.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc6599c248190b7f134b5b9947a23 |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b0f56048190bcbc6581a8cdc0f5 |
completed | May 3, 2026, 5:51 p.m. |
Created at: April 9, 2026, 9:53 p.m.