Triple

T3249418
Position Surface form Disambiguated ID Type / Status
Subject Fécondité E68139 entity
Predicate publisher P29 FINISHED
Object Fasquelle
Fasquelle is a French publishing house known for issuing notable literary and scholarly works.
E340840 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: Fasquelle | Statement: [Fécondité, publisher, Fasquelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fasquelle
Context triple: [Fécondité, publisher, Fasquelle]
  • A. Rethondes
    Rethondes is a commune in northern France best known as the site where the World War I armistice was signed in 1918.
  • B. Anières
    Anières is a small lakeside municipality in western Switzerland, situated on the shores of Lake Geneva near the city of Geneva.
  • C. Vaudesir
    Vaudésir is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, renowned for producing some of its most refined and age-worthy Chardonnay wines.
  • D. Sauldre
    Sauldre is a river in central France that flows through the Cher department and is a tributary of the larger Sauldre river system.
  • E. La Rivière
    La Rivière is a sector of the town of Gold, recognized as one of its notable local areas.
  • 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: Fasquelle
Triple: [Fécondité, publisher, Fasquelle]
Generated description
Fasquelle is a French publishing house known for issuing notable literary and scholarly works.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fasquelle
Target entity description: Fasquelle is a French publishing house known for issuing notable literary and scholarly works.
  • A. Rethondes
    Rethondes is a commune in northern France best known as the site where the World War I armistice was signed in 1918.
  • B. Anières
    Anières is a small lakeside municipality in western Switzerland, situated on the shores of Lake Geneva near the city of Geneva.
  • C. Vaudesir
    Vaudésir is one of the prestigious Grand Cru vineyard sites in the Chablis wine region of Burgundy, renowned for producing some of its most refined and age-worthy Chardonnay wines.
  • D. Sauldre
    Sauldre is a river in central France that flows through the Cher department and is a tributary of the larger Sauldre river system.
  • E. La Rivière
    La Rivière is a sector of the town of Gold, recognized as one of its notable local areas.
  • 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf3fc3c8819080ac95974581ca0e completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2776934108190ac405ba5ebd47084 completed March 12, 2026, 8:20 a.m.
NEDg Description generation batch_69b27c2c16188190af03674ead3944de completed March 12, 2026, 8:41 a.m.
NED2 Entity disambiguation (via description) batch_69b27ca63b1c8190ac6f67aef6d2c7e1 completed March 12, 2026, 8:43 a.m.
Created at: March 8, 2026, 3:09 p.m.