Triple
T345439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American South (mid-20th century civil rights era) |
E6928
|
entity |
| Predicate | hasLongTermImpactOn |
P4749
|
FINISHED |
| Object | U.S. civil rights law |
—
|
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: U.S. civil rights law | Statement: [American South (mid-20th century civil rights era), hasLongTermImpactOn, U.S. civil rights law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLongTermImpactOn Context triple: [American South (mid-20th century civil rights era), hasLongTermImpactOn, U.S. civil rights law]
-
A.
hasEnvironmentalImpactOn
Indicates that one entity affects or alters the environmental conditions, quality, or ecological state of another entity.
-
B.
hasConsequence
Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
-
C.
historicalImpact
chosen
Indicates the influence or lasting effects that an entity, event, or action has had on subsequent history or historical developments.
-
D.
hasCulturalImpact
Indicates that one entity has influenced, shaped, or significantly affected the culture, values, practices, or artistic expressions of another.
-
E.
demographicImpact
Indicates how an action, event, or condition affects the size, structure, or composition of a population.
- 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_69a2e7951ba08190960e90823b5078f3 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eb0240e88190bc70784772f5fa30 |
completed | Feb. 28, 2026, 1:17 p.m. |
| PD | Predicate disambiguation | batch_69a2e95451a4819090f4e4fb9b21a493 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.