Triple
T5234462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oceanic Niño Index |
E118188
|
entity |
| Predicate | thresholdForElNiño |
P43684
|
FINISHED |
| Object | +0.5 °C 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: +0.5 °C anomaly | Statement: [Oceanic Niño Index, thresholdForElNiño, +0.5 °C anomaly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thresholdForElNiño Context triple: [Oceanic Niño Index, thresholdForElNiño, +0.5 °C anomaly]
-
A.
containsMajorClimatePhenomenon
Indicates that the subject region or area includes or experiences a significant, large-scale climate-related event or pattern.
-
B.
isTropical
Indicates that something belongs to, occurs in, or is characteristic of tropical regions or climates.
-
C.
requiresSeaSurfaceTemperature
chosen
Indicates that one entity depends on or needs a specified sea surface temperature condition to occur, function, or be valid.
-
D.
hasExtremeWeatherCharacteristic
Indicates that something possesses a notable or defining feature related to extreme weather conditions.
-
E.
endSea
Indicates that something marks the boundary or termination point of a sea or sea area.
- 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b04c03481908d901788ce2c4128 |
completed | March 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69bd77bf1ef08190bb3487b3f3ee088c |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:49 p.m.