Triple
T8104296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mindoro |
E189188
|
entity |
| Predicate | largestIslandRankInPhilippines |
P46015
|
FINISHED |
| Object | seventh |
—
|
LITERAL 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: seventh | Statement: [Mindoro, largestIslandRankInPhilippines, seventh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largestIslandRankInPhilippines Context triple: [Mindoro, largestIslandRankInPhilippines, seventh]
-
A.
rankByAreaInPhilippines
chosen
Indicates the relative ordering of entities based on their area size specifically within the Philippines.
-
B.
largestPoliticalEntityOnIsland
Indicates that the subject is the politically dominant or most extensive governing entity located on a given island.
-
C.
largestIslandOfCountry
Indicates that one entity is the largest island (by area) belonging to or within the territory of the specified country.
-
D.
nearestPopulatedIsland
Indicates that one island is the closest populated island to another specified location or island.
-
E.
largestIslandDistrictOf
Indicates that one entity is the island district with the greatest area (or size) within the scope defined by the other entity.
- F. None of above.
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_69ca82b9d5848190a24672775d5c5011 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42c0ce6481909887be82c8019383 |
completed | March 31, 2026, 3:42 a.m. |
| PD | Predicate disambiguation | batch_69cb04a2ed1c8190b73562321ad688bc |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:31 p.m.