Triple
T20560874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ONI |
E504839
|
entity |
| Predicate | measuresRegion |
P140559
|
FINISHED |
| Object | central equatorial Pacific |
—
|
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: central equatorial Pacific | Statement: [ONI, measuresRegion, central equatorial Pacific]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: measuresRegion Context triple: [ONI, measuresRegion, central equatorial Pacific]
-
A.
coRulerRegion
Indicates a relationship where multiple rulers share governing authority over the same region.
-
B.
performanceMeasureArea
Indicates the specific domain or aspect of performance that a given performance measure is intended to evaluate or quantify.
-
C.
measuresKinematicRegion
Indicates that an entity performs a measurement specifically on a defined kinematic region (a subset of phase space characterized by motion-related variables such as momentum, energy, or angles).
-
D.
meetsInRegion
Indicates that two or more entities encounter or come together within a specified geographic or spatial region.
-
E.
coreRegionOf
Indicates that one entity constitutes the central or most essential part of another entity’s structure, area, or domain.
- F. None of above. chosen
Provenance (4 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_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a79ec10481909740eb6a08ae2658 |
completed | April 20, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69e59ff0116c8190a163ff28ed01430a |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a824748190bbe6192d73f3c613 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:38 a.m.