Triple
T22208237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itbayat Island |
E548871
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Itbayaten |
—
|
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: Itbayaten | Statement: [Itbayat Island, language, Itbayaten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Itbayaten Context triple: [Itbayat Island, language, Itbayaten]
-
A.
Itbayaten
chosen
Itbayaten is an Austronesian language spoken by the Itbayat people of the Batanes Islands in the northern Philippines.
-
B.
Caibarién
Caibarién is a coastal town and municipality in central Cuba known historically for its fishing industry and nearby keys.
-
C.
Bejucal
Bejucal is a Cuban town and municipality known for its historic role in the island’s early railway system and its traditional “Charangas de Bejucal” carnival festivities.
-
D.
Navezuelas
Navezuelas is a small rural municipality in the province of Cáceres, Extremadura, Spain, known for its mountainous landscapes within the Villuercas region.
-
E.
Bedoya
Bedoya is a Spanish-language surname of Iberian origin borne by various notable figures in Latin American and Spanish-speaking cultures.
- 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_69e11e3f7e04819089806d81d5ac431e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b29eb808190ab8abaa1e0e354fa |
completed | April 28, 2026, 9:48 p.m. |
Created at: April 16, 2026, 8:36 p.m.