Triple

T2295613
Position Surface form Disambiguated ID Type / Status
Subject Rouen E51605 entity
Predicate locatedIn P40 FINISHED
Object northern France E47141 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: northern France | Statement: [Rouen, locatedIn, northern France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: northern France
Context triple: [Rouen, locatedIn, northern France]
  • A. eastern France
    Eastern France is the region of France bordering countries like Germany, Switzerland, and Belgium, historically significant as a strategic frontier and site of major fortifications and conflicts.
  • B. Western France
    Western France is the Atlantic-facing part of France known for its coastal landscapes, maritime climate, and historic regions such as Brittany and Pays de la Loire.
  • C. Picardy
    Picardy is a historical region in northern France known for its strategic location, rich medieval heritage, and significant role in European conflicts.
  • D. south-central France
    South-central France is a largely rural, mountainous region dominated by the Massif Central, known for its volcanic landscapes, plateaus, and traditional agricultural areas.
  • E. Hauts-de-France chosen
    Hauts-de-France is a region in northern France known for its industrial heritage, coastal areas along the English Channel, and proximity to Belgium and the United Kingdom.
  • 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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5dc40f881908a3dcc518bbead55 completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf214f14819098ed0edbbb2f33c0 completed March 9, 2026, 12:37 p.m.
Created at: March 4, 2026, 7:49 p.m.