Triple

T34103985
Position Surface form Disambiguated ID Type / Status
Subject University of American Samoa E874648 entity
Predicate hasMottoDepicted P116463 FINISHED
Object School of Law 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: School of Law | Statement: [University of American Samoa, hasMottoDepicted, School of Law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMottoDepicted
Context triple: [University of American Samoa, hasMottoDepicted, School of Law]
  • A. hasMottoDepiction chosen
    Indicates that something visually represents or depicts the motto associated with an entity.
  • B. hasMottoSymbol
    Indicates that an entity’s motto is represented or accompanied by a particular symbol.
  • C. usesMotto
    Indicates that one entity adopts or employs a particular motto as its guiding phrase or slogan.
  • D. mottoIncluded
    Indicates that a motto is present as part of, or associated with, the referenced entity.
  • E. hasMottoAuthority
    Indicates that an entity has the official power or right to establish, approve, or oversee the use of a motto 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_69f349a80d4481908527317d43f5c579 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69feb342994081909481ec8ec5d44928 completed May 9, 2026, 4:08 a.m.
PD Predicate disambiguation batch_69feb046e4e48190b96649aa28529cc9 completed May 9, 2026, 3:55 a.m.
Created at: May 1, 2026, 1:53 a.m.