Triple

T12454035
Position Surface form Disambiguated ID Type / Status
Subject Gerechtigkeitsbrunnen E297607 entity
Predicate hasStatue P1646 FINISHED
Object Justitia E533723 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: Justitia | Statement: [Gerechtigkeitsbrunnen, hasStatue, Justitia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Justitia
Context triple: [Gerechtigkeitsbrunnen, hasStatue, Justitia]
  • A. Justitia chosen
    Justitia is the Roman goddess of justice, law, and fairness, typically depicted with scales and a sword to symbolize impartial judgment and authority.
  • B. Justícia
    Justícia is a historic judicial and ombudsman-like office in the Crown of Aragon, traditionally responsible for safeguarding legal rights and mediating between authorities and citizens.
  • C. Justitia Omnibus
    Justitia Omnibus is the Latin motto of Washington, D.C., meaning "Justice for All."
  • D. Grand Justice
    Grand Justice is a high-ranking constitutional judge serving on Taiwan’s Judicial Yuan, responsible for interpreting the Constitution and overseeing constitutional matters.
  • E. La Justice
    La Justice is a philosophical poem by French writer and Nobel laureate Sully Prudhomme that explores themes of law, morality, and the nature of justice.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94da0b5988190b9df26dd3bb87337 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f16e87c8190b7e9f61561ae865a completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:56 p.m.