Triple
T14596802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biliran Province |
E342589
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Cabucgayan |
E343543
|
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: Cabucgayan | Statement: [Biliran Province, hasMunicipality, Cabucgayan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cabucgayan Context triple: [Biliran Province, hasMunicipality, Cabucgayan]
-
A.
Cabucgayan
chosen
Cabucgayan is a coastal municipality in the province of Biliran in the Eastern Visayas region of the Philippines.
-
B.
Cabugao
Cabugao is a coastal municipality in the province of Ilocos Sur in the Philippines, known for its beaches and agricultural economy.
-
C.
Cagbang
Cagbang is a barangay (village-level administrative division) within the municipality of Oton in the province of Iloilo, Philippines.
-
D.
Cantilan
Cantilan is a coastal municipality in the province of Surigao del Sur in the Philippines, known for its beaches, marine resources, and agricultural activities.
-
E.
Kapangan
Kapangan is a rural municipality in the mountainous province of Benguet in the Philippines, known for its cool climate, highland farms, and scenic Cordillera landscapes.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb43581348190b5362251c3a89654 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde169eb6481909d7fac6d984a2af1 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:25 a.m.