Triple
T807480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Visayas |
E17470
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Guimaras Island |
E56910
|
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: Guimaras Island | Statement: [Visayas, hasPart, Guimaras Island]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guimaras Island Context triple: [Visayas, hasPart, Guimaras Island]
-
A.
Bohol Island
Bohol Island is a popular island province in the central Philippines known for its Chocolate Hills, tarsier sanctuaries, and white-sand beaches.
-
B.
Negros Island
Negros Island is one of the major islands of the central Philippines, known for its sugarcane plantations, active volcanoes, and division into the provinces of Negros Occidental and Negros Oriental.
-
C.
Cebu Island
Cebu Island is a major island in the central Philippines known for its historic city of Cebu, vibrant commerce, and popular beach and dive destinations.
-
D.
Guimaras
chosen
Guimaras is a small island province in the Philippines known for its mango production, coastal scenery, and predominantly Hiligaynon-speaking population.
-
E.
Samar Island
Samar Island is a large island in the Eastern Visayas region of the Philippines, known for its rugged terrain, rich biodiversity, and distinct local culture.
- 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab23862c8190bfd6558936c58410 |
completed | March 1, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac11907a988190945e5e5ec8a26ccf |
completed | March 7, 2026, 11:52 a.m. |
Created at: March 1, 2026, 7:38 p.m.