Triple
T927249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galápagos Islands |
E20011
|
entity |
| Predicate | numberOfMajorIslands |
P6394
|
FINISHED |
| Object | 13 |
—
|
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: 13 | Statement: [Galápagos Islands, numberOfMajorIslands, 13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMajorIslands Context triple: [Galápagos Islands, numberOfMajorIslands, 13]
-
A.
numberOfIslands
chosen
Indicates the total count of distinct, separate landmasses (islands) present within a given area or context.
-
B.
nearestLargeIsland
Indicates that one entity is the closest geographically among all islands considered "large" relative to another reference entity.
-
C.
islandSize
Indicates the size or area measurement associated with a particular island.
-
D.
secondLargestIsland
Indicates that the subject is the second largest island (by area or size) within a specified group, region, or context.
-
E.
majorIsland
Indicates that an island is the primary or most significant island within a specified geographic or political context.
- 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b388f0bc8190a087222636135ba5 |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b2970a4c8190b22cb2fd4706f62b |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.