Triple
T20560928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niño 3.4 region |
E504840
|
entity |
| Predicate | hasMeasuredProperty |
P126729
|
FINISHED |
| Object | sea surface temperature anomaly |
—
|
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: sea surface temperature anomaly | Statement: [Niño 3.4 region, hasMeasuredProperty, sea surface temperature anomaly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMeasuredProperty Context triple: [Niño 3.4 region, hasMeasuredProperty, sea surface temperature anomaly]
-
A.
hasMeasuredParameter
chosen
Indicates that an entity has a specific parameter that has been quantitatively measured or recorded.
-
B.
hasMeasurement
Indicates that an entity is associated with a specific measured value, often including a unit or measurement context.
-
C.
measuredProperty
Indicates that the subject is a measurement that quantifies or assesses the specified property of an entity.
-
D.
hasMeasurementRole
Indicates that an entity participates in a measurement activity in a specific functional role (e.g., as the measurer, instrument, or measured subject).
-
E.
hasKeyMeasure
Indicates that one entity is the primary or defining metric, indicator, or quantitative measure used to assess or evaluate another entity.
- 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_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. |
Created at: April 16, 2026, 11:38 a.m.