Triple
T6511966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gambier Islands |
E150157
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Agakauitai |
E601960
|
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: Agakauitai | Statement: [Gambier Islands, hasIsland, Agakauitai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agakauitai Context triple: [Gambier Islands, hasIsland, Agakauitai]
-
A.
Angakauitai
chosen
Angakauitai is a small, uninhabited volcanic island in the Gambier Islands of French Polynesia, known for its rugged terrain and remote location in the South Pacific.
-
B.
Pitumpanua
Pitumpanua is a town and district-level settlement in Wajo Regency, South Sulawesi, Indonesia.
-
C.
Tanimaiaki
Tanimaiaki is a settlement on the atoll of Abemama in the island nation of Kiribati in the central Pacific Ocean.
-
D.
Teaoraereke
Teaoraereke is a settlement on Tarawa Atoll in Kiribati, known for being part of the country’s densely populated urban area around the capital, South Tarawa.
-
E.
Piumafua
Piumafua is the highest peak on the island of Olosega in American Samoa, known for its steep volcanic terrain and lush tropical surroundings.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f3c5eb88190a56723acd8096dd8 |
completed | March 27, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d50f7d048190ad13dcd3f80c2eb4 |
completed | March 27, 2026, 7:05 p.m. |
Created at: March 27, 2026, 1:44 p.m.