Triple
T21096743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alabat Island |
E519786
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Perez |
—
|
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: Perez | Statement: [Alabat Island, hasMunicipality, Perez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perez Context triple: [Alabat Island, hasMunicipality, Perez]
-
A.
Perez
Perez is a character in the Saw horror film franchise, appearing as a law enforcement figure involved in investigating the Jigsaw killings.
-
B.
Perez
Perez is a biblical figure from the Book of Genesis, known as one of the twin sons of Judah and an ancestor in the lineage leading to King David.
-
C.
Perez
chosen
Perez is a coastal municipality in the province of Quezon in the Philippines, known for its fishing communities and island landscapes.
-
D.
Sergio Pérez
Sergio Pérez is a Mexican Formula 1 racing driver known for his racecraft, tire management, and Grand Prix victories with top teams including Red Bull Racing.
-
E.
Rudy Pérez
Rudy Pérez is a renowned Cuban-American music producer, songwriter, and arranger known for his influential work in Latin pop and collaborations with numerous international artists.
- 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b595cdc8190ba7a6f3f71d40c3f |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 2:52 p.m.