Triple
T20281250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caticlan |
E503147
|
entity |
| Predicate | hasNearbyIsland |
P970
|
FINISHED |
| Object | Boracay |
—
|
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: Boracay | Statement: [Caticlan, hasNearbyIsland, Boracay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boracay Context triple: [Caticlan, hasNearbyIsland, Boracay]
-
A.
Boracay
chosen
Boracay is a small Philippine island famous for its white-sand beaches, vibrant nightlife, and status as one of Southeast Asia’s top tropical vacation destinations.
-
B.
El Nido
El Nido is a coastal resort town in northern Palawan, Philippines, famed for its dramatic limestone cliffs, turquoise lagoons, and island-hopping destinations in the Bacuit Archipelago.
-
C.
Siargao Island
Siargao Island is a renowned Philippine island destination famous for its world-class surfing waves, pristine beaches, and laid-back tropical atmosphere.
-
D.
Anda, Bohol
Anda, Bohol is a coastal municipality in the Philippines known for its white-sand beaches, caves, and coral reefs on the eastern side of Bohol Island.
-
E.
Moalboal
Moalboal is a coastal town in the Philippines renowned for its vibrant coral reefs, sardine runs, and popular diving and snorkeling spots.
- 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_69e0b4b0e79c8190bd61f22ef1329fa8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6768e9f0881909c8fe8772dafd468 |
completed | April 20, 2026, 6:55 p.m. |
Created at: April 16, 2026, 10:38 a.m.