Triple

T19059510
Position Surface form Disambiguated ID Type / Status
Subject Château de Falaise E466488 entity
Predicate locatedIn P40 FINISHED
Object Falaise 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: Falaise | Statement: [Château de Falaise, locatedIn, Falaise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Falaise
Context triple: [Château de Falaise, locatedIn, Falaise]
  • A. Falaise chosen
    Falaise is a town in Normandy, France, known for its strategic role in the Second World War, particularly during the closing of the Falaise Pocket in 1944.
  • B. Avranches
    Avranches is a historic town in northwestern France, near Mont-Saint-Michel, known for its medieval heritage and role in the liberation of Normandy during World War II.
  • C. Pontois
    Pontois is the French demonym referring to inhabitants of the commune of Pont-de-l’Isère in southeastern France.
  • D. Harfleur
    Harfleur is a historic port town in Normandy, northern France, known for its strategic importance during the Hundred Years’ War.
  • E. Fécamp
    Fécamp is a coastal town and former important fishing port in northern France, known for its historic Benedictine Palace and dramatic cliffs along the English Channel.
  • 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5dc08572c8190af2f8bcfe9d1616c completed April 20, 2026, 7:55 a.m.
Created at: April 10, 2026, 12:03 p.m.