Triple
T5593392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woleaian language |
E146934
|
entity |
| Predicate | glottologName |
P6521
|
FINISHED |
| Object | Woleaian |
E96377
|
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: Woleaian | Statement: [Woleaian language, glottologName, Woleaian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woleaian Context triple: [Woleaian language, glottologName, Woleaian]
-
A.
Woleaian
chosen
Woleaian is a Micronesian language spoken primarily in the Federated States of Micronesia, particularly on Woleai Atoll and nearby islands.
-
B.
Wihro
Wihro is the official mascot character created for the 2022 Mediterranean Games.
-
C.
Wotho
Wotho is a small inhabited island in the Marshall Islands that serves as the main settlement and administrative center of Wotho Atoll.
-
D.
Wanaruah
Wanaruah is an alternative ethnonym for the Wonnarua, an Aboriginal Australian people traditionally associated with the Hunter Valley region of New South Wales.
-
E.
Torwali
Torwali is an Indo-Aryan language spoken primarily by the Torwali community in Pakistan’s Swat Valley, known for its distinct phonology and endangered status.
- 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_69c009036c408190981a8d690b679b67 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020bb08648190ab1f66cc3e897e6d |
completed | March 22, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07d8c6f8881909ac2018d11f5aef8 |
completed | March 22, 2026, 11:38 p.m. |
Created at: March 22, 2026, 3:38 p.m.