Triple
T6569487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Fito |
E155396
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Upolu |
E155396
|
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: Upolu | Statement: [Mount Fito, locatedOn, Upolu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Upolu Context triple: [Mount Fito, locatedOn, Upolu]
-
A.
Upolu
chosen
Upolu is a major volcanic island in the South Pacific Ocean that hosts Samoa’s capital city, Apia, and much of the country’s population and infrastructure.
-
B.
Nuʻuuli
Nuʻuuli is a village and commercial center on the island of Tutuila in American Samoa.
-
C.
Nayaulevu
Nayaulevu is a coastal village located on Kadavu Island in Fiji, known for its traditional Fijian community and rural island lifestyle.
-
D.
Piumafua
Piumafua is the highest peak on the island of Olosega in American Samoa, known for its steep volcanic terrain and lush tropical surroundings.
-
E.
Tahuata
Tahuata is a small, rugged island in the southern Marquesas archipelago of French Polynesia, known for its traditional Polynesian culture and remote, scenic landscapes.
- 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_69c688151254819080387f87deab8fa7 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae56116c81909ab2fc0877363406 |
completed | March 27, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7867e688190aad8cc2b396a64eb |
completed | March 27, 2026, 9:32 p.m. |
Created at: March 27, 2026, 1:53 p.m.