Triple

T1082837
Position Surface form Disambiguated ID Type / Status
Subject SAT E23984 entity
Predicate minScore P22279 FINISHED
Object 400 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: 400 | Statement: [SAT, minScore, 400]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: minScore
Context triple: [SAT, minScore, 400]
  • A. requiresMinimumScore chosen
    Indicates that one entity can only be obtained, accessed, or considered valid if another entity’s score meets or exceeds a specified minimum threshold.
  • B. lowestGrade
    Indicates that one entity has the smallest or worst grade value compared to all other relevant entities in a given context.
  • C. isScoreFor
    Indicates that one value represents the score or result associated with a particular entity, event, or performance.
  • D. scoring
    Indicates the act of achieving points or a measurable result, typically by successfully completing an action that contributes to a score or outcome.
  • E. minimumNumberOfMembers
    Indicates the smallest allowable or required number of members that must be present or involved in a given context or group.
  • 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_69a493f1ddf48190a99d54b00e99f8ce completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b95e56948190a1e92367ad7240b7 completed March 1, 2026, 10:10 p.m.
PD Predicate disambiguation batch_69a4b73f4310819086281f8ec67d1a32 completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.