Triple
T174495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Niño–Southern Oscillation |
E3546
|
entity |
| Predicate | hasSpatialExtent |
P4451
|
FINISHED |
| Object | equatorial Pacific basin |
—
|
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: equatorial Pacific basin | Statement: [El Niño–Southern Oscillation, hasSpatialExtent, equatorial Pacific basin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpatialExtent Context triple: [El Niño–Southern Oscillation, hasSpatialExtent, equatorial Pacific basin]
-
A.
hasSpacetimeRegion
chosen
Indicates that something occupies, is associated with, or is bounded by a specific region in spacetime.
-
B.
allowsSpatialCurvature
Indicates that one entity permits or enables the presence or variation of spatial curvature in relation to another entity or context.
-
C.
mapCoverage
Indicates the extent or area that is represented, covered, or included by a particular map.
-
D.
hasLandCoverage
Indicates that a specified area or region is covered or occupied by a particular type of land surface or land use.
-
E.
hasProtectedAreaStatus
Indicates that an area is officially designated and managed as a protected area under relevant conservation or legal frameworks.
- 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_69a25374990081909766d30c79a18e0e |
completed | Feb. 28, 2026, 2:31 a.m. |
| NER | Named-entity recognition | batch_69a258e32da88190ad9485aecd0bf08f |
completed | Feb. 28, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69a256689f908190afeb5ee82022a911 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:39 a.m.