Triple

T13493428
Position Surface form Disambiguated ID Type / Status
Subject Chambois E320695 entity
Predicate locatedNear P294 FINISHED
Object Falaise E230526 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: Falaise | Statement: [Chambois, locatedNear, Falaise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Falaise
Context triple: [Chambois, locatedNear, 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 (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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4c66008190b287e0551889d7c8 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7463d3a948190aab07a25fd903d4e completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:43 p.m.