Triple
T6341667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pitons, cirques and remparts of Réunion Island |
E142640
|
entity |
| Predicate | percentageOfIsland |
P41576
|
FINISHED |
| Object | about 40% of Réunion Island |
—
|
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 40% of Réunion Island | Statement: [Pitons, cirques and remparts of Réunion Island, percentageOfIsland, about 40% of Réunion Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: percentageOfIsland Context triple: [Pitons, cirques and remparts of Réunion Island, percentageOfIsland, about 40% of Réunion Island]
-
A.
coversPercentageOfIsland
chosen
Indicates the proportion of an island’s total area that is occupied or covered by a specified entity.
-
B.
islandSize
Indicates the size or area measurement associated with a particular island.
-
C.
partOfIsland
Indicates that one entity is a portion or component of an island.
-
D.
hasIslandAreaApprox
Indicates that an island’s area is approximately equal to a specified value or falls within an approximate range.
-
E.
isIsland
Indicates that the subject entity is classified as an island, i.e., a landmass surrounded by water.
- 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_69c008d5ab108190b346c465696824a9 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0674445748190bce2d638048be77c |
completed | March 22, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69c060ea1a988190889e47b7e0c819b8 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:30 p.m.