Triple
T18161726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ifalik Atoll |
E434779
|
entity |
| Predicate | usesLanguage |
P238
|
FINISHED |
| Object | Ifalik language |
—
|
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: Ifalik language | Statement: [Ifalik Atoll, usesLanguage, Ifalik language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ifalik language Context triple: [Ifalik Atoll, usesLanguage, Ifalik language]
-
A.
Ifalik language
chosen
The Ifalik language is a Micronesian language spoken by the inhabitants of the small atoll of Ifalik in the Federated States of Micronesia.
-
B.
Bafia language
The Bafia language is a Bantu language spoken primarily by the Bafia people in central Cameroon.
-
C.
Birifor language
The Birifor language is a Gur language spoken primarily by the Birifor people in parts of Ghana, Burkina Faso, and Côte d’Ivoire.
-
D.
Wuvulu-Aua language
The Wuvulu-Aua language is an Oceanic language spoken on the Wuvulu and Aua islands of Papua New Guinea, known for its complex verbal morphology and distinctive phonological features.
-
E.
Fataluku language
The Fataluku language is a Papuan language spoken primarily in the eastern part of Timor-Leste, especially around the town of Lospalos.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dec32530819099d906640a07e92c |
completed | April 19, 2026, 1:55 p.m. |
Created at: April 10, 2026, 10:30 a.m.