Triple
T11278698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington Slagbaai National Park |
E267004
|
entity |
| Predicate | occupiesFractionOfIsland |
P41576
|
FINISHED |
| Object | about one fifth of Bonaire |
—
|
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: about one fifth of Bonaire | Statement: [Washington Slagbaai National Park, occupiesFractionOfIsland, about one fifth of Bonaire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupiesFractionOfIsland Context triple: [Washington Slagbaai National Park, occupiesFractionOfIsland, about one fifth of Bonaire]
-
A.
coversPercentageOfIsland
chosen
Indicates the proportion of an island’s total area that is occupied or covered by a specified entity.
-
B.
partOfIsland
Indicates that one entity is a portion or component of an island.
-
C.
hasIslandOnOneSide
Indicates that one side of an object, area, or boundary is adjacent to or bordered by an island.
-
D.
islandSize
Indicates the size or area measurement associated with a particular island.
-
E.
hasIslandAreaApprox
Indicates that an island’s area is approximately equal to a specified value or falls within an approximate range.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e967ebb4819080b09ed3cec44e77 |
completed | April 9, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69d787a240588190aa097298f951c915 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:31 p.m.