Triple
T3854454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tabua Club |
E85377
|
entity |
| Predicate | operatorICAO |
P32729
|
FINISHED |
| Object | FJI |
E11899
|
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: FJI | Statement: [Tabua Club, operatorICAO, FJI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FJI Context triple: [Tabua Club, operatorICAO, FJI]
-
A.
Fiji
chosen
Fiji is a South Pacific island nation known for its tropical climate, coral reefs, and popular beach and dive tourism.
-
B.
Fiji Baat
Fiji Baat is a colloquial name for Fiji Hindi, an Indo-Aryan language spoken primarily by the Indo-Fijian community in Fiji.
-
C.
Fakaofo
Fakaofo is one of the three main atolls of Tokelau in the South Pacific, serving as a key population and governance center for the territory.
-
D.
Fitiuta
Fitiuta is a small village on the island of Taʻū in American Samoa, known for its traditional Samoan culture and coastal setting.
-
E.
Fiji archipelago
The Fiji archipelago is a South Pacific island group and nation known for its volcanic islands, coral reefs, and role as a regional hub of Melanesian culture and tourism.
- 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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec05ec4c8190bd5e5463163712dc |
completed | March 9, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5041c7250819093b2743afeb6e36c |
completed | March 14, 2026, 6:45 a.m. |
Created at: March 9, 2026, 3:19 p.m.