Triple

T9850188
Position Surface form Disambiguated ID Type / Status
Subject Cleveland High School E239447 entity
Predicate servesGrade P3870 FINISHED
Object 9 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: 9 | Statement: [Cleveland High School, servesGrade, 9]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servesGrade
Context triple: [Cleveland High School, servesGrade, 9]
  • A. servesGradeLevels chosen
    Indicates that an entity (such as a school or program) provides services or instruction to students in the specified grade levels.
  • B. servesType
    Indicates that one entity provides, offers, or is used to deliver a particular type, category, or kind of thing or service.
  • C. servesSkillLevel
    Indicates that one entity provides or is appropriate for a particular level of skill in another entity.
  • D. distinguishesGrade
    Indicates that an entity differentiates or sets apart one grade or level from another.
  • E. denotesGrade
    Indicates that an entity assigns, specifies, or is associated with a particular grade or evaluation for 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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb372efc88190a801b2d7384445d7 completed April 2, 2026, 12:08 a.m.
PD Predicate disambiguation batch_69cd03e57cac8190914bb5ae608a6e0e completed April 1, 2026, 11:39 a.m.
Created at: March 30, 2026, 8:34 p.m.