Triple
T9204011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genovesa Island |
E220922
|
entity |
| Predicate | oceanicIsland |
P17226
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Genovesa Island, oceanicIsland, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oceanicIsland Context triple: [Genovesa Island, oceanicIsland, true]
-
A.
archipelagoType
Indicates the specific kind or classification of an archipelago based on its characteristics or formation.
-
B.
islandOf
Indicates that one place is an island belonging to, located within, or geographically associated with another specified area or body of land/water.
-
C.
islandType
chosen
Indicates the specific classification or category of an island based on its characteristics or formation.
-
D.
nearestPopulatedIsland
Indicates that one island is the closest populated island to another specified location or island.
-
E.
formerIslandOf
Indicates that one entity was previously an island associated with another entity, but no longer holds that status.
- 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_69ca83e8e9248190862cf3e41693b310 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd944e6208190adfcc7f75197387d |
completed | April 1, 2026, 8:37 a.m. |
| PD | Predicate disambiguation | batch_69cc660af2408190ae06eb8326e1c64e |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:26 p.m.