Triple

T2475984
Position Surface form Disambiguated ID Type / Status
Subject Vivarais E55089 entity
Predicate historicalCapital P2536 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, historicalCapital, Privas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Privas
Context triple: [Vivarais, historicalCapital, Privas]
  • A. Privas chosen
    Privas is a small town in southeastern France that serves as the prefecture (administrative capital) of the Ardèche department.
  • B. 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.
  • C. 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.
  • D. Micali
    Micali is an Italian surname most notably associated with Silvio Micali, a Turing Award–winning computer scientist and cryptographer.
  • E. Pris
    Pris is a diminutive form of the given name Priscilla, often used as a familiar or affectionate nickname.
  • 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_69ab49e279e88190ab10d7248aea9d11 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd14c8c388190bbdc486ffed6899e completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17ab837881909bf8704acf9598e4 completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:45 p.m.