Triple
T5153316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bantayan Island |
E116248
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Bantayan |
E116248
|
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: Bantayan | Statement: [Bantayan Island, hasMunicipality, Bantayan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bantayan Context triple: [Bantayan Island, hasMunicipality, Bantayan]
-
A.
Bantayan Island
chosen
Bantayan Island is a scenic island in the central Philippines known for its white-sand beaches, clear waters, and laid-back coastal villages.
-
B.
Siargao Island
Siargao Island is a renowned Philippine island destination famous for its world-class surfing waves, pristine beaches, and laid-back tropical atmosphere.
-
C.
Daanbantayan
Daanbantayan is a northern coastal municipality in the Philippine province of Cebu known as a gateway to popular diving and beach destinations like Malapascua Island.
-
D.
Sibuyan Island
Sibuyan Island is a largely forested Philippine island in the Romblon province, renowned for its high endemism and the Mount Guiting-Guiting Natural Park.
-
E.
Cabilao Island
Cabilao Island is a small, scenic island in the Philippines known for its rich marine biodiversity and popular dive sites, particularly for observing coral reefs and hammerhead sharks.
- 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_69bd445d94788190b72e2cc563120995 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd78dc329c8190808085c6b3e4241c |
completed | March 20, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed0099afc8190badca81bd5efb8f6 |
completed | March 21, 2026, 5:06 p.m. |
Created at: March 20, 2026, 1:44 p.m.