Triple

T21997550
Position Surface form Disambiguated ID Type / Status
Subject CSAT (General Studies Paper II) E543243 entity
Predicate answerMarkingMethod P750 FINISHED
Object optical mark recognition sheet 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: optical mark recognition sheet | Statement: [CSAT (General Studies Paper II), answerMarkingMethod, optical mark recognition sheet]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: answerMarkingMethod
Context triple: [CSAT (General Studies Paper II), answerMarkingMethod, optical mark recognition sheet]
  • A. passMark
    Indicates that an entity has achieved a score or performance level that meets or exceeds the required threshold for passing.
  • B. assessmentMethod chosen
    Indicates the method or procedure used to evaluate, measure, or judge something.
  • C. marksApproachTo
    Indicates that one entity signifies or designates the way or method by which another entity is approached.
  • D. reportedMarks
    Indicates that an entity has formally communicated or submitted the marks/grades of another entity (such as a student or assessment) to a relevant party or system.
  • E. marks
    Indicates that one entity makes a visible or symbolic sign on, or designates, another entity for identification, emphasis, or distinction.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1276774508190b96870266e10979a completed April 28, 2026, 9:32 p.m.
PD Predicate disambiguation batch_69e6f62dc9d88190ae387f145f9528de completed April 21, 2026, 3:59 a.m.
Created at: April 16, 2026, 8:19 p.m.