Triple
T20025540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Leyte |
E494972
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Capoocan |
—
|
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: Capoocan | Statement: [Province of Leyte, hasMunicipality, Capoocan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Capoocan Context triple: [Province of Leyte, hasMunicipality, Capoocan]
-
A.
Capoocan
chosen
Capoocan is a municipality in the province of Leyte in the Eastern Visayas region of the Philippines.
-
B.
Macuspana
Macuspana is a significant urban center and municipality in the Mexican state of Tabasco, known for its role in the region’s political and economic life.
-
C.
Camajuaní
Camajuaní is a municipality in central Cuba known for its agricultural economy and location within Villa Clara Province.
-
D.
Cajidiocan
Cajidiocan is a coastal municipality located on Sibuyan Island in the province of Romblon in the Philippines.
-
E.
Luruaco
Luruaco is a municipality in northern Colombia known for its traditional cuisine, especially its famous arepas de huevo, and its location within the Atlántico Department.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6628d5b8c8190a35f95ac4a016550 |
completed | April 20, 2026, 5:29 p.m. |
Created at: April 11, 2026, 3:35 p.m.