Triple
T10306564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balicasag Island |
E241776
|
entity |
| Predicate | nearbyIsland |
P2064
|
FINISHED |
| Object | Panglao Island |
E238065
|
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: Panglao Island | Statement: [Balicasag Island, nearbyIsland, Panglao Island]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Panglao Island Context triple: [Balicasag Island, nearbyIsland, Panglao Island]
-
A.
Panglao Island
chosen
Panglao Island is a popular Philippine island destination known for its white-sand beaches, clear diving waters, and vibrant marine life.
-
B.
Nongkhnum Island
Nongkhnum Island is one of the largest river islands in Asia, known for its scenic landscapes, sandy beaches, and waterfalls in the West Khasi Hills of Meghalaya, India.
-
C.
Baisha Island
Baisha Island is one of the main inhabited islands of Taiwan’s Penghu archipelago, known for its beaches, traditional villages, and coastal scenery.
-
D.
Paoha Island
Paoha Island is a large volcanic island in California’s Mono Lake, formed by relatively recent volcanic activity and known for its striking, barren landscape.
-
E.
Yongyu Island
Yongyu Island is a small island in Incheon, South Korea, known for its coastal scenery and proximity to Incheon International Airport.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d30a6c888190acdd0a645247736a |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fb5cbaec8190a9773f8d72d51c1a |
completed | April 9, 2026, 7:17 p.m. |
Created at: April 6, 2026, 11:46 a.m.