Triple
T6564711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakon |
E153873
|
entity |
| Predicate | island |
P970
|
FINISHED |
| Object | Gaua |
E619059
|
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: Gaua | Statement: [Lakon, island, Gaua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaua Context triple: [Lakon, island, Gaua]
-
A.
Gaua
chosen
Gaua is an island in northern Vanuatu, known for its active volcano, Lake Letas, and diverse indigenous languages and cultures.
-
B.
Manuae
Manuae is an uninhabited coral atoll in the southern Cook Islands, known for its rich marine life and status as a wildlife sanctuary.
-
C.
Manuae
Manuae is a small, uninhabited coral atoll in the Society Islands of French Polynesia, known for its remote lagoon and rich marine life.
-
D.
Vella Lavella
Vella Lavella is an Oceanic language spoken on Vella Lavella Island in the Solomon Islands, belonging to the Meso-Melanesian branch of the Austronesian language family.
-
E.
Abaiang
Abaiang is a coral atoll in the Gilbert Islands of Kiribati, known for its traditional villages, lagoon environment, and vulnerability to climate change and sea-level rise.
- 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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae3b9ec8819080f3052556d95810 |
completed | March 27, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723af5fa88190acd0c040cdf24f13 |
completed | March 28, 2026, 12:41 a.m. |
Created at: March 27, 2026, 1:52 p.m.