Triple

T13496505
Position Surface form Disambiguated ID Type / Status
Subject Décret n° 2014-168 du 17 février 2014 E320774 entity
Predicate numéroOfficiel P8195 FINISHED
Object 2014-168 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: 2014-168 | Statement: [Décret n° 2014-168 du 17 février 2014, numéroOfficiel, 2014-168]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numéroOfficiel
Context triple: [Décret n° 2014-168 du 17 février 2014, numéroOfficiel, 2014-168]
  • A. imoNumber
    Indicates that an entity is associated with a specific International Maritime Organization (IMO) identification number used to uniquely identify ships and certain maritime structures.
  • B. corpsNumber
    Indicates that an entity is assigned a specific corps identification number within an organized group or military structure.
  • C. number chosen
    Indicates that one entity is associated with a specific numerical value or count in relation to another entity or context.
  • D. symbolNumber
    Indicates a relationship where a specific numerical identifier is assigned to or associated with a particular symbol.
  • E. titleNumber
    Indicates the numerical designation or sequence number assigned to a title within an ordered set of titles.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4e9ca4819083116890a65389f9 completed April 12, 2026, 2:42 p.m.
PD Predicate disambiguation batch_69dbae06061881909a6a6032e0507587 completed April 12, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:43 p.m.