Triple

T19466663
Position Surface form Disambiguated ID Type / Status
Subject Roman theatre of Vienne E487016 entity
Predicate hasView P854 FINISHED
Object city of Vienne 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: city of Vienne | Statement: [Roman theatre of Vienne, hasView, city of Vienne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Vienne
Context triple: [Roman theatre of Vienne, hasView, city of Vienne]
  • A. City of Vienne chosen
    The City of Vienne is a historic commune in southeastern France, renowned for its rich Roman heritage and well-preserved ancient monuments.
  • B. Vaison-la-Romaine
    Vaison-la-Romaine is a historic town in southeastern France renowned for its extensive Roman archaeological sites and medieval architecture.
  • C. Loudun
    Loudun is a historic town in western France’s Vienne department, known for its medieval architecture and its association with the 17th-century Loudun possessions and witch trials.
  • D. Thouars
    Thouars is a historic town in western France known for its medieval architecture and strategic position overlooking the Thouet River.
  • E. Souillac
    Souillac is a picturesque town in southwestern France known for its historic architecture and scenic setting along the Dordogne River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633e1dccc819096feb1a514b9eb86 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:39 p.m.