Triple

T11312543
Position Surface form Disambiguated ID Type / Status
Subject Hôpital Debré E267874 entity
Predicate locatedInCity P40 FINISHED
Object Reims, France E9677 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: Reims, France | Statement: [Hôpital Debré, locatedInCity, Reims, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reims, France
Context triple: [Hôpital Debré, locatedInCity, Reims, France]
  • A. Reims chosen
    Reims is a historic city in northeastern France known for its Gothic cathedral, role in French coronations, and significance during both World Wars.
  • B. Étaples, France
    Étaples, France is a coastal town in northern France’s Pas-de-Calais department, historically known as a fishing port and for its role in World War I as the site of a major British military base and cemetery.
  • C. Bezons, France
    Bezons, France is a suburban commune in the northwestern outskirts of Paris known for hosting major corporate offices and technology companies.
  • D. Ermont, France
    Ermont is a suburban commune in the northern outskirts of Paris, France, known for its residential character and transport links within the Val-d'Oise department.
  • E. Amiens, France
    Amiens, France is a historic city in northern France known for its Gothic cathedral and as the birthplace of French President Emmanuel Macron.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c1b7dc81908d8cc768c47390d3 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e542f294988190bb456326e4184dcb completed April 19, 2026, 9:02 p.m.
Created at: April 8, 2026, 9:32 p.m.