Triple

T37981077
Position Surface form Disambiguated ID Type / Status
Subject New York State Regents Diploma E947549 entity
Predicate minimumPassingScore P22279 FINISHED
Object 65 on each required Regents exam 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: 65 on each required Regents exam | Statement: [New York State Regents Diploma, minimumPassingScore, 65 on each required Regents exam]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: minimumPassingScore
Context triple: [New York State Regents Diploma, minimumPassingScore, 65 on each required Regents exam]
  • 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. passMark
    Indicates that an entity has achieved a score or performance level that meets or exceeds the required threshold for passing.
  • C. lowestScore
    Indicates that the associated value is the smallest (minimum) score among a set of scores.
  • D. minimumPointsForWinner
    Indicates the minimum number of points that an entity must achieve in order to be considered the winner in a given context or competition.
  • E. minimumAbove
    Indicates that one value is the smallest among a set that is strictly greater than a given reference value.
  • 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_69f76ef8a1d08190a741bbbc5970e3b3 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbc995dc2481908b3bd4217f8101e7 completed May 6, 2026, 11:07 p.m.
PD Predicate disambiguation batch_69fbc8ee04f08190977b7ad70fc85896 completed May 6, 2026, 11:04 p.m.
Created at: May 3, 2026, 4:20 p.m.