Triple
T1482698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iowa Democratic caucuses 2004 |
E30993
|
entity |
| Predicate | resultImpact |
P20527
|
FINISHED |
| Object | boosted John Kerry’s national campaign momentum |
—
|
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: boosted John Kerry’s national campaign momentum | Statement: [Iowa Democratic caucuses 2004, resultImpact, boosted John Kerry’s national campaign momentum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resultImpact Context triple: [Iowa Democratic caucuses 2004, resultImpact, boosted John Kerry’s national campaign momentum]
-
A.
socialImpact
Indicates the extent to which an action, entity, or relationship affects society or communities, whether positively or negatively.
-
B.
impactOnPerformance
chosen
Indicates that one entity has an effect, influence, or consequence on the performance level or effectiveness of another entity.
-
C.
decisionEffect
Indicates that one decision leads to, influences, or determines a particular outcome or consequence.
-
D.
rankingImpact
Indicates how an entity’s position or level in a ranking is affected or influenced by another factor or action.
-
E.
result
Indicates that one entity is produced, caused, or brought about as an outcome or consequence of another entity or process.
- 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_69a498fe55a88190ab7f9e40ace88e49 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c6782f088190930d25a56161e2b3 |
completed | March 1, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69a4c486eacc81909c272f9bdf50a7c3 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:11 p.m.