Triple
T13974229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faleolo International Airport |
E336142
|
entity |
| Predicate | locatedOnIsland |
P970
|
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: [Faleolo International Airport, locatedOnIsland, Upolu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Upolu Context triple: [Faleolo International Airport, locatedOnIsland, 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.
Polae
Polae is a historical name referring to the ancient settlement known in later periods as Pola, a coastal city in the Istrian region.
-
C.
Pa'a
Pa'a is a Chadic language spoken in northern Nigeria, closely related to and geographically near the Warji language.
-
D.
Pangaimotu
Pangaimotu is a small island in the Vavaʻu island group of Tonga, known for its tranquil beaches and traditional Tongan village life.
-
E.
Luaniua
Luaniua is a Polynesian outlier island and village in the Ontong Java Atoll of the Solomon Islands.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8fd6d48190a157eae8df3a2f3a |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac90250881908f1945793d261752 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:18 p.m.