Triple

T15581298
Position Surface form Disambiguated ID Type / Status
Subject Abbaye-aux-Dames convent school in Caen E374504 entity
Predicate locatedIn P40 FINISHED
Object Caen E99797 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: Caen | Statement: [Abbaye-aux-Dames convent school in Caen, locatedIn, Caen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caen
Context triple: [Abbaye-aux-Dames convent school in Caen, locatedIn, Caen]
  • A. Caen chosen
    Caen is a historic city in Normandy, France, known for its medieval architecture, ties to William the Conqueror, and its role in the World War II Normandy campaign.
  • B. Saint-Lô
    Saint-Lô is a historic town in northwestern France, known for its heavy destruction during World War II and its role as an administrative and commercial center in the Normandy region.
  • C. Cherbourg
    Cherbourg is a major French port city on the Cotentin Peninsula, known for its strategic naval harbor and cross-Channel ferry connections.
  • D. Arromanches-les-Bains
    Arromanches-les-Bains is a coastal town in Normandy, France, best known for its role in the D-Day landings and the remains of the Mulberry artificial harbor just offshore.
  • E. Rouen
    Rouen is a historic city in northern France renowned for its medieval architecture, Gothic cathedral, and association with figures like Joan of Arc and the Impressionist painter Claude Monet.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e45ee3c8190a6aee06a5805ca39 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4da9e48190a73492ef725380da completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:11 a.m.