Triple

T16109424
Position Surface form Disambiguated ID Type / Status
Subject Étrépagny E390832 entity
Predicate hasRegionCapital P16248 FINISHED
Object Rouen (for Normandy) E51605 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: Rouen (for Normandy) | Statement: [Étrépagny, hasRegionCapital, Rouen (for Normandy)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rouen (for Normandy)
Context triple: [Étrépagny, hasRegionCapital, Rouen (for Normandy)]
  • A. Rouen chosen
    Rouen is a historic city in northern France renowned for its medieval architecture, Gothic cathedral, and association with figures like Joan of Arc and the Impressionist painter Claude Monet.
  • B. Cherbourg
    Cherbourg is a major French port city on the Cotentin Peninsula, known for its strategic naval harbor and cross-Channel ferry connections.
  • C. Cherbourg
    Cherbourg is a rural Aboriginal community in southern Queensland, Australia, known for its significant Indigenous history and culture.
  • D. Rouen metropolitan area
    The Rouen metropolitan area is an urban and economic hub in northern France centered on the historic city of Rouen along the Seine River.
  • E. Evreux, France
    Evreux is a historic town in the Normandy region of northern France, known for its Gothic cathedral and role as an administrative and cultural center.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2016665c0819081aa7a44b1d08183 completed April 17, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeba674788190a589104cf90f28d5 completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 5 a.m.