Triple
T19541183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taiohae |
E488904
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object | Marquesan |
—
|
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: Marquesan | Statement: [Taiohae, hasLanguage, Marquesan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marquesan Context triple: [Taiohae, hasLanguage, Marquesan]
-
A.
North Marquesan
North Marquesan is an Eastern Polynesian language spoken primarily in the northern Marquesas Islands of French Polynesia.
-
B.
South Marquesan
chosen
South Marquesan is an Eastern Polynesian language spoken in the southern part of the Marquesas Islands in French Polynesia.
-
C.
Marquesas Islands
The Marquesas Islands are a remote volcanic archipelago in French Polynesia in the central South Pacific, known for their dramatic landscapes, rich Polynesian culture, and association with artist Paul Gauguin.
-
D.
Manihiki
Manihiki is a remote coral atoll in the northern Cook Islands, known for its black pearl farming and traditional Polynesian culture.
-
E.
Society Islands
The Society Islands are a prominent archipelago in French Polynesia in the South Pacific, best known for tropical destinations like Tahiti and Bora Bora.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63872fda48190bbb1f465cb7b57fe |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 10, 2026, 1:41 p.m.