Triple

T1990129
Position Surface form Disambiguated ID Type / Status
Subject Pays de la Loire E43232 entity
Predicate containsCity P294 FINISHED
Object Le Mans E43233 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: Le Mans | Statement: [Pays de la Loire, containsCity, Le Mans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Le Mans
Context triple: [Pays de la Loire, containsCity, Le Mans]
  • A. Le Mans chosen
    Le Mans is a historic city in northwestern France best known for its annual 24 Hours of Le Mans endurance sports car race.
  • B. Reims
    Reims is a historic city in northeastern France known for its Gothic cathedral, role in French coronations, and significance during both World Wars.
  • C. Palaiseau
    Palaiseau is a suburban commune in the southern outskirts of Paris, France, known for hosting major scientific and engineering institutions.
  • D. Toulouse–Hendaye
    Toulouse–Hendaye is a French intercity rail route linking the inland city of Toulouse with the Atlantic coastal town of Hendaye near the Spanish border.
  • E. 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.
  • 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_69a88714cf2c819081644be450b8356e completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8434cec819087842e2c9537df9e completed March 7, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0336177c8190bb9d3d921fff13e8 completed March 8, 2026, 11:16 p.m.
Created at: March 4, 2026, 7:37 p.m.