Triple
T6355855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piton de la Fournaise |
E142988
|
entity |
| Predicate | islandSide |
P44066
|
FINISHED |
| Object | eastern side 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: eastern side of Réunion Island | Statement: [Piton de la Fournaise, islandSide, eastern side of Réunion Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: islandSide Context triple: [Piton de la Fournaise, islandSide, eastern side of Réunion Island]
-
A.
partOfIsland
Indicates that one entity is a portion or component of an island.
-
B.
isOnSideOfIsland
chosen
Indicates that one entity is located on a particular side or shore of an island relative to some reference or division.
-
C.
isIsland
Indicates that the subject entity is classified as an island, i.e., a landmass surrounded by water.
-
D.
islandType
Indicates the specific classification or category of an island based on its characteristics or formation.
-
E.
nativeIsland
Indicates that an entity originates from or is a native inhabitant of a particular island.
- 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_69c008d7a9c4819098d647ec47776917 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067e22c00819089bc68efb85bc2c8 |
completed | March 22, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69c060ec091c8190912aac44e1b8b1c9 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:32 p.m.