Triple
T4449720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woleaian |
E96377
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Woleai |
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: Woleai | Statement: [Woleaian, hasAlternativeName, Woleai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woleai Context triple: [Woleaian, hasAlternativeName, Woleai]
-
A.
Woleaian
chosen
Woleaian is a Micronesian language spoken primarily in the Federated States of Micronesia, particularly on Woleai Atoll and nearby islands.
-
B.
Walo
Walo was a precolonial West African kingdom in the lower Senegal River region, known as one of the successor states to the Wolof Empire.
-
C.
Wolumla
Wolumla is a small rural village in New South Wales, Australia, situated inland from the Sapphire Coast and known for its farming community and quiet country character.
-
D.
Waiyevo
Waiyevo is the principal administrative and service center on the Fijian island of Taveuni.
-
E.
Wyoma
Wyoma is a residential neighborhood located within the city of Lynn in northeastern Massachusetts.
- 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_69b345415ba481908df738e7174448ba |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355d5975c8190bfe8a2d5d2dbf075 |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b613895488819083140ae9f0ddba5e |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:32 p.m.