Triple
T38631621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taylor’s Northern Mexico campaign |
E937469
|
entity |
| Predicate | hadPoliticalImpactOn |
P28799
|
FINISHED |
| Object | Zachary Taylor |
—
|
NE NERFINISHED |
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: Zachary Taylor | Statement: [Taylor’s Northern Mexico campaign, hadPoliticalImpactOn, Zachary Taylor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadPoliticalImpactOn Context triple: [Taylor’s Northern Mexico campaign, hadPoliticalImpactOn, Zachary Taylor]
-
A.
hasPoliticalSignificanceFor
chosen
Indicates that something holds importance, influence, or consequence within the political context or interests of a particular entity.
-
B.
facedHistoricalImpact
Indicates that an entity has experienced or been subjected to a significant influence, consequence, or change resulting from historical events or processes.
-
C.
hasPoliticalSignificanceAs
Indicates that something holds a particular kind or role of political importance or relevance in relation to another entity or context.
-
D.
historicalImpact
Indicates the influence or lasting effects that an entity, event, or action has had on subsequent history or historical developments.
-
E.
notableImpactOn
Indicates that one entity has had a significant, recognizable, or influential effect on 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_69f76ed5ca3c81909288f61fbf37b359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.