Triple

T6980363
Position Surface form Disambiguated ID Type / Status
Subject Seventh College E161826 entity
Predicate hasMottoTypeTheme P504 FINISHED
Object interdisciplinary, problem-focused education 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: interdisciplinary, problem-focused education | Statement: [Seventh College, hasMottoTypeTheme, interdisciplinary, problem-focused education]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMottoTypeTheme
Context triple: [Seventh College, hasMottoTypeTheme, interdisciplinary, problem-focused education]
  • A. hasMotiveTheme
    Indicates that an action, event, or situation is associated with a central motivating theme or underlying driving idea.
  • B. mottoType chosen
    Indicates the specific category or kind of motto that characterizes the relationship between an entity and its motto.
  • C. hasMottoLikeFunction
    Indicates that something serves a role or function similar to a motto, typically expressing a guiding principle, slogan, or core message.
  • D. hasMottoContext
    Indicates that an entity’s motto is associated with or applies within a specific contextual setting or scope.
  • E. hasMottoTradition
    Indicates that an entity possesses a traditional motto associated with its identity or heritage.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db6c1efc8190ab1575ae2ce726db completed March 27, 2026, 7:33 p.m.
PD Predicate disambiguation batch_69c6d7c262508190a7708b3d9cf23d7c completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:31 p.m.