Triple

T6775450
Position Surface form Disambiguated ID Type / Status
Subject Finistère E155142 entity
Predicate hasCulturalRegion P1968 FINISHED
Object Léon
Léon is a traditional cultural and historical region in northwestern Brittany, France, known for its distinct Breton heritage and coastal landscapes.
E617167 NE FINISHED

How this triple was built (4 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: Léon | Statement: [Finistère, hasCulturalRegion, Léon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Léon
Context triple: [Finistère, hasCulturalRegion, Léon]
  • A. Léon
    Léon is a French surname borne by various notable individuals across fields such as politics, arts, and academia.
  • B. Léon: The Professional
    Léon: The Professional is a 1994 crime thriller film by Luc Besson about a hitman who forms an unusual bond with a young girl after her family is murdered.
  • C. Le Fel
    Le Fel is a commune in southern France whose name is borne by the Entraygues-le-Fel Appellation d'Origine Contrôlée wine region.
  • D. Joe le taxi
    "Joe le taxi" is a 1987 French pop song by Vanessa Paradis that became an international hit and launched her to fame as a teenage singer.
  • E. Renard
    Renard is the primary villain in the James Bond film "The World Is Not Enough," a terrorist whose inability to feel pain makes him a particularly relentless and dangerous adversary.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Léon
Triple: [Finistère, hasCulturalRegion, Léon]
Generated description
Léon is a traditional cultural and historical region in northwestern Brittany, France, known for its distinct Breton heritage and coastal landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Léon
Target entity description: Léon is a traditional cultural and historical region in northwestern Brittany, France, known for its distinct Breton heritage and coastal landscapes.
  • A. Léon
    Léon is a French surname borne by various notable individuals across fields such as politics, arts, and academia.
  • B. Léon: The Professional
    Léon: The Professional is a 1994 crime thriller film by Luc Besson about a hitman who forms an unusual bond with a young girl after her family is murdered.
  • C. Le Fel
    Le Fel is a commune in southern France whose name is borne by the Entraygues-le-Fel Appellation d'Origine Contrôlée wine region.
  • D. Joe le taxi
    "Joe le taxi" is a 1987 French pop song by Vanessa Paradis that became an international hit and launched her to fame as a teenage singer.
  • E. Renard
    Renard is the primary villain in the James Bond film "The World Is Not Enough," a terrorist whose inability to feel pain makes him a particularly relentless and dangerous adversary.
  • F. None of above. chosen

Provenance (5 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_69c68812ef7c819099369f51febb725c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d24f77c88190be21cf4ef132aa31 completed March 27, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712ca48d88190b9f47b23264d4264 completed March 27, 2026, 11:29 p.m.
NEDg Description generation batch_69c713d2fad881909ac1b96ba4353bfe completed March 27, 2026, 11:33 p.m.
NED2 Entity disambiguation (via description) batch_69c71478072481909e396a2ac39f0f3a completed March 27, 2026, 11:36 p.m.
Created at: March 27, 2026, 2:13 p.m.