Triple

T4954186
Position Surface form Disambiguated ID Type / Status
Subject Ruoms E111240 entity
Predicate hasDepartmentCapital P29912 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: [Ruoms, hasDepartmentCapital, Privas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Privas
Context triple: [Ruoms, hasDepartmentCapital, 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. 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.
  • D. Purda
    Purda is a village in northern Poland located in the Warmian-Masurian Voivodeship, known for its traditional Warmian architecture and surrounding lakes and forests.
  • E. Micali
    Micali is an Italian surname most notably associated with Silvio Micali, a Turing Award–winning computer scientist and cryptographer.
  • 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_69bd4418390c8190b7e9766a2512ce55 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71b945c0819082723712905f8295 completed March 20, 2026, 4:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81da92b48190ab41ad8f7a891544 completed March 21, 2026, 11:32 a.m.
Created at: March 20, 2026, 1:32 p.m.