Triple

T2242174
Position Surface form Disambiguated ID Type / Status
Subject BESE E49420 entity
Predicate levelOfEducation P177 FINISHED
Object K–12 E159741 NE 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: K–12 | Statement: [BESE, levelOfEducation, K–12]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: K–12
Context triple: [BESE, levelOfEducation, K–12]
  • A. KVPS
    KVPS is the ICAO airport code for Destin–Fort Walton Beach Airport, a joint civil–military airfield associated with Eglin Air Force Base in Florida.
  • B. Lab Schools
    Lab Schools is a renowned private day school in Chicago affiliated with the University of Chicago, known for its progressive education and strong academic programs from nursery through high school.
  • C. Board of Education
    The Board of Education is the elected or appointed body responsible for setting policies, overseeing administration, and guiding the educational direction of a public school district.
  • D. Middle School chosen
    Middle School is an educational stage typically covering early adolescent grades between primary/elementary school and high/secondary school.
  • E. Gymnasium
    Gymnasium is a modern open-source toolkit for developing and comparing reinforcement learning algorithms, serving as a successor and refinement to OpenAI Gym.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a88aa979788190ad6500f1d8eee2fc completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0c017548190a71fb4a0e2a8189f completed March 7, 2026, 6:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b0eef98819083bede32490cba7e completed March 9, 2026, 6:39 a.m.
Created at: March 4, 2026, 7:47 p.m.