Triple
T22320489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batan Island |
E551769
|
entity |
| Predicate | administrativeDivision |
P747
|
FINISHED |
| Object | Uyugan |
—
|
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: Uyugan | Statement: [Batan Island, administrativeDivision, Uyugan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uyugan Context triple: [Batan Island, administrativeDivision, Uyugan]
-
A.
Uyugan
chosen
Uyugan is a small coastal municipality in the province of Batanes in the northern Philippines, known for its traditional stone houses, rolling hills, and rugged seascapes.
-
B.
Uzynagash
Uzynagash is a rural settlement in southeastern Kazakhstan that serves as a local center within the Almaty Region.
-
C.
Yuruti
Yuruti is an indigenous Tucanoan language spoken by a small community in the northwestern Amazon region of South America.
-
D.
Ushba
Ushba is a striking double-summited peak in the Caucasus Mountains of Georgia, renowned among climbers for its technical difficulty and dramatic, spire-like profile.
-
E.
Ukaan
Ukaan is a little-documented Niger-Congo language spoken by a small community in southwestern Nigeria.
- 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_69e11e4776588190abb21e5cea79973f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15763bf0881908d859f85b4a6ce28 |
completed | April 29, 2026, 12:57 a.m. |
Created at: April 16, 2026, 8:42 p.m.