Triple

T25589370
Position Surface form Disambiguated ID Type / Status
Subject Article 59 of the Constitution of France E641478 entity
Predicate locatedInLegalText P1637 FINISHED
Object Title IV of the Constitution of France NE NERFINISHED

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: Title IV of the Constitution of France | Statement: [Article 59 of the Constitution of France, locatedInLegalText, Title IV of the Constitution of France]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatedInLegalText
Context triple: [Article 59 of the Constitution of France, locatedInLegalText, Title IV of the Constitution of France]
  • A. locatedInTextualSource
    Indicates that information about an entity or relation appears within, or is documented by, a specific textual source.
  • B. locationOfLawChallenged
    Indicates the jurisdiction or place in which a particular law is being contested or legally challenged.
  • C. locatedInArticle
    Indicates that one item (such as a section, figure, or concept) appears within or is contained in a specific article.
  • D. locatedIn
    Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
  • E. locationInDocument chosen
    Indicates that one entity specifies where another entity is situated or referenced within a document.
  • 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_69e75dc42b588190a98b58e0df359674 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f7626667f48190ad90867eb67ec582 completed May 3, 2026, 2:57 p.m.
PD Predicate disambiguation batch_69f76175d6608190b60b268e20f49ed9 completed May 3, 2026, 2:53 p.m.
Created at: April 21, 2026, 4:18 p.m.