Triple

T15339251
Position Surface form Disambiguated ID Type / Status
Subject Rouen metropolitan area E366746 entity
Predicate hasPart P35 FINISHED
Object Canteleu E1033262 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: Canteleu | Statement: [Rouen metropolitan area, hasPart, Canteleu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canteleu
Context triple: [Rouen metropolitan area, hasPart, Canteleu]
  • A. Canteleu chosen
    Canteleu is a commune in the Seine-Maritime department of the Normandy region in northern France, located near the city of Rouen.
  • B. Cerbillona
    Cerbillona is a prominent peak in the Vignemale massif of the central Pyrenees, known for its high elevation and alpine climbing routes on the French–Spanish border.
  • C. Puyol
    Puyol is a retired Spanish footballer best known as FC Barcelona’s long-serving, hard-tackling central defender and captain, widely regarded as one of the greatest defenders of his generation.
  • D. Raguil
    Raguil is an alternative spelling of Raguel, a traditional archangel name found in various Judeo-Christian angelologies.
  • E. Béralde
    Béralde is a rational, clear-sighted character in Molière’s comedy *Le Malade imaginaire*, who serves as the voice of reason challenging the protagonist’s obsession with illness and doctors.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e12eb7c8190944a260aa1aa9156 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01f2ee9c819080fce24ed13a07c7 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:17 a.m.