Triple
T18922734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ofu Airport |
E462898
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Ofu |
—
|
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: Ofu | Statement: [Ofu Airport, locatedIn, Ofu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ofu Context triple: [Ofu Airport, locatedIn, Ofu]
-
A.
Ofu
chosen
Ofu is a small volcanic island in the Manuʻa group of American Samoa, known for its pristine beaches, coral reefs, and inclusion in the National Park of American Samoa.
-
B.
Ofu
Ofu is a small island in the Vavaʻu island group of the Kingdom of Tonga, known for its tranquil beaches and traditional Polynesian village life.
-
C.
Atafu
Atafu is one of the three main atolls of Tokelau in the South Pacific Ocean, serving as a key population and administrative center for the territory.
-
D.
Ofu Island
Ofu Island is a small, scenic island in American Samoa known for its pristine beaches, coral reefs, and inclusion in the National Park of American Samoa.
-
E.
Bu'aale
Bu'aale is a town in southern Somalia that serves as an important administrative and commercial center in the Middle Juba region.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c9b4822c8190a0aeceb4499e775e |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 10, 2026, 11:59 a.m.