Triple
T16217666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metro Cebu |
E393634
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Minglanilla |
E261535
|
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: Minglanilla | Statement: [Metro Cebu, hasMunicipality, Minglanilla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minglanilla Context triple: [Metro Cebu, hasMunicipality, Minglanilla]
-
A.
Minglanilla
chosen
Minglanilla is a municipality in the province of Cebu in the Philippines, known as a rapidly developing residential and commercial area just south of Cebu City.
-
B.
Peñaflor
Peñaflor is a Chilean town and commune located in the outskirts of Santiago, known for its residential character and green areas.
-
C.
Medinilla
Medinilla is a genus of tropical flowering plants known for their showy, pendulous clusters of pink or purple blossoms and ornamental foliage, often grown as decorative houseplants or in greenhouses.
-
D.
Abanilla
Abanilla is a municipality in the Region of Murcia in southeastern Spain, known for its traditional agriculture and historic religious festivities.
-
E.
Palanas
Palanas is a coastal municipality located in the province of Masbate in the Bicol Region of the Philippines.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227f76f748190831d230d32c18611 |
completed | April 17, 2026, 12:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000796bc5c81909d2acb68851c9bb8 |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:03 a.m.