Triple
T20493836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cloud 9 |
E502815
|
entity |
| Predicate | island |
P970
|
FINISHED |
| Object | Siargao |
—
|
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: Siargao | Statement: [Cloud 9, island, Siargao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siargao Context triple: [Cloud 9, island, Siargao]
-
A.
Siargao Island
chosen
Siargao Island is a renowned Philippine island destination famous for its world-class surfing waves, pristine beaches, and laid-back tropical atmosphere.
-
B.
Moalboal
Moalboal is a coastal town in the Philippines renowned for its vibrant coral reefs, sardine runs, and popular diving and snorkeling spots.
-
C.
Boracay
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.
-
D.
Calasiao
Calasiao is a municipality in the Philippine province of Pangasinan known for its historic churches and famous native rice cakes called "puto Calasiao."
-
E.
Caticlan
Caticlan is a coastal barangay in Malay, Aklan in the Philippines, best known as the main gateway to the resort island of Boracay via its nearby jetty port and airport.
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbc58d08190bf3f6b60259a8be1 |
completed | April 20, 2026, 9:38 p.m. |
Created at: April 16, 2026, 11:35 a.m.