Triple

T11413726
Position Surface form Disambiguated ID Type / Status
Subject Vivarais E270434 entity
Predicate contains P35 FINISHED
Object Privas E52557 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: Privas | Statement: [Vivarais, contains, Privas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Privas
Context triple: [Vivarais, contains, Privas]
  • A. Privas chosen
    Privas is a small town in southeastern France that serves as the prefecture (administrative capital) of the Ardèche department.
  • B. Pravonín
    Pravonín is a small municipality and village in the Central Bohemian Region of the Czech Republic.
  • C. Papariga
    Papariga is a Greek surname most prominently associated with Aleka Papariga, a longtime leader of the Communist Party of Greece.
  • D. Paravaqar
    Paravaqar is a small town located in Armenia's northeastern Tavush Province, known for its rural setting and proximity to forested, mountainous landscapes.
  • E. Pravdinsk
    Pravdinsk is a small town in Russia’s Kaliningrad Oblast, historically known as Friedland and noted as the site of a major 1807 Napoleonic battle.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801acd9bc81908a23b1b7b4e778d3 completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b855f0508190a2e57ef9407ddb1a completed April 20, 2026, 5:23 a.m.
Created at: April 8, 2026, 9:34 p.m.