Triple

T20862725
Position Surface form Disambiguated ID Type / Status
Subject Parkview Arts and Science Magnet High School E513661 entity
Predicate isMagnetFor P142152 FINISHED
Object visual and performing arts 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: visual and performing arts | Statement: [Parkview Arts and Science Magnet High School, isMagnetFor, visual and performing arts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isMagnetFor
Context triple: [Parkview Arts and Science Magnet High School, isMagnetFor, visual and performing arts]
  • A. isPublicMagnetFor
    Indicates that an entity functions as a publicly accessible magnet or attraction that draws attention, people, or resources toward it.
  • B. usesMagnetType
    Indicates that one entity employs or operates with a specific type of magnet in its function or configuration.
  • C. hasMagnetStatus
    Indicates that an entity possesses a specific magnet-related state or designation within a given context.
  • D. hasMagneticMoment
    Indicates that an entity possesses a magnetic moment, characterizing the strength and orientation of its magnetism.
  • E. isFerromagnetic
    Indicates that a material exhibits ferromagnetism, meaning it can be permanently magnetized and shows strong attraction to magnetic fields due to aligned magnetic domains.
  • F. None of above. chosen

Provenance (4 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_69e0b4f5b01081909452f654d2fc3f50 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c45d2ec4819098abbb901b9fcd87 completed April 21, 2026, 12:27 a.m.
PD Predicate disambiguation batch_69e5c9a593f481908beb457c29f1ce73 completed April 20, 2026, 6:37 a.m.
PDg Predicate description generation batch_69e5d53c4d6881909b4d0a716fa5ed4a completed April 20, 2026, 7:26 a.m.
Created at: April 16, 2026, 12:44 p.m.