Triple
T1007875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niño 3.4 index |
E21753
|
entity |
| Predicate | helpsCharacterize |
P9157
|
FINISHED |
| Object | teleconnections between the tropical Pacific and global climate |
—
|
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: teleconnections between the tropical Pacific and global climate | Statement: [Niño 3.4 index, helpsCharacterize, teleconnections between the tropical Pacific and global climate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpsCharacterize Context triple: [Niño 3.4 index, helpsCharacterize, teleconnections between the tropical Pacific and global climate]
-
A.
characterizedBy
Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
-
B.
helpsIdentify
chosen
Indicates a relationship where one entity serves to distinguish, recognize, or determine the identity or characteristics of another entity.
-
C.
legalCharacterization
Indicates how an action, event, or situation is classified or characterized under a specific legal framework or set of laws.
-
D.
character2
Indicates that a second character entity is involved in the relationship or context defined by the predicate.
-
E.
judgeCharacter
Indicates evaluating or forming an opinion about another entity’s moral qualities, personality, or overall character.
- 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_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7f4c66c8190b6098fb72c1465a3 |
completed | March 1, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69a4b7203124819091de68cba5f731c1 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.