Triple

T16699297
Position Surface form Disambiguated ID Type / Status
Subject Los Angeles High School (fourth building) E405799 entity
Predicate hasDesignCharacteristics P1529 FINISHED
Object grand composition 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: grand composition | Statement: [Los Angeles High School (fourth building), hasDesignCharacteristics, grand composition]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDesignCharacteristics
Context triple: [Los Angeles High School (fourth building), hasDesignCharacteristics, grand composition]
  • A. hasDesign chosen
    Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
  • B. designedFeature
    Indicates that one entity is a feature or component intentionally planned, created, or specified by another entity as part of a design.
  • C. hasDesignOption
    Indicates that an entity is associated with or offers a particular design alternative or configurable design choice.
  • D. hasDesignConsideration
    Indicates that one entity takes another entity into account as a factor, constraint, or requirement in its design or planning.
  • E. codeCharacteristic
    Indicates that one piece of code possesses a specific property, feature, or quality in relation to another referenced aspect.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e383300d108190911e3cba8e07f2dd completed April 18, 2026, 1:12 p.m.
PD Predicate disambiguation batch_69e319bc73908190a0e38bc926b31f10 completed April 18, 2026, 5:42 a.m.
Created at: April 10, 2026, 5:19 a.m.