Triple
T18089211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanauan |
E432921
|
entity |
| Predicate | isPartOf |
P10
|
FINISHED |
| Object | Island of Luzon |
—
|
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: Island of Luzon | Statement: [Tanauan, isPartOf, Island of Luzon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Island of Luzon Context triple: [Tanauan, isPartOf, Island of Luzon]
-
A.
West Luzon
West Luzon refers to the western coastal region of the Philippine island of Luzon, known for its rugged mountain ranges, beaches, and proximity to the South China Sea.
-
B.
フィリピン・ルソン島
フィリピン・ルソン島は、首都マニラを擁するフィリピン最大の島であり、政治・経済・文化の中心地となっている島である。
-
C.
Cebu Island
Cebu Island is a major island in the central Philippines known for its historic city of Cebu, vibrant commerce, and popular beach and dive destinations.
-
D.
Luzon
chosen
Luzon is the largest and most populous island in the Philippines, home to the nation’s capital, Manila, and its main political and economic centers.
-
E.
Bohol Island
Bohol Island is a popular island province in the central Philippines known for its Chocolate Hills, tarsier sanctuaries, and white-sand beaches.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd16e2148190a63cc981898e8ade |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 10:27 a.m.