Triple
T9775297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mangaian dialect |
E237230
|
entity |
| Predicate | spokenIn |
P2266
|
FINISHED |
| Object | Mangaia |
E230620
|
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: Mangaia | Statement: [Mangaian dialect, spokenIn, Mangaia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mangaia Context triple: [Mangaian dialect, spokenIn, Mangaia]
-
A.
Mangaia
chosen
Mangaia is the southernmost and second-largest of the Cook Islands, known for its rugged limestone cliffs, ancient makatea landscape, and rich Polynesian culture.
-
B.
Arutua
Arutua is a coral atoll in French Polynesia’s Tuamotu Archipelago, known for its lagoon, pearl farming, and traditional Polynesian community.
-
C.
Welua
Welua is a small settlement located on the remote Kapingamarangi atoll in the Federated States of Micronesia.
-
D.
Tahuata
Tahuata is a small, rugged island in the southern Marquesas archipelago of French Polynesia, known for its traditional Polynesian culture and remote, scenic landscapes.
-
E.
Maniaki
Maniaki is a small settlement located within the Kastoria regional unit in Western Macedonia, Greece.
- 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_69ca84d975a08190aab25b02a89bdab3 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda13148288190bcbb3b4a066d9fc1 |
completed | April 1, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bd1d4b6881908b773e03de17f680 |
completed | April 5, 2026, 1:38 a.m. |
Created at: March 30, 2026, 8:26 p.m.