Triple

T7715570
Position Surface form Disambiguated ID Type / Status
Subject Aubusson tapestry tradition E174870 entity
Predicate locatedIn P40 FINISHED
Object Aubusson E174869 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: Aubusson | Statement: [Aubusson tapestry tradition, locatedIn, Aubusson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aubusson
Context triple: [Aubusson tapestry tradition, locatedIn, Aubusson]
  • A. Aubusson chosen
    Aubusson is a town in central France renowned for its centuries-old tradition of tapestry and carpet weaving.
  • B. Limoges
    Limoges is a historic city in central France renowned for its fine porcelain production and medieval architecture.
  • C. Sèvres
    Sèvres is a commune in the southwestern suburbs of Paris, France, historically notable as the site where the post–World War I Treaty of Sèvres was concluded.
  • D. Langres
    Langres is a historic fortified town in northeastern France known for its well-preserved ramparts and as the birthplace of Enlightenment philosopher Denis Diderot.
  • E. Boussy-Saint-Antoine
    Boussy-Saint-Antoine is a suburban commune in the Essonne department in the Île-de-France region of northern France.
  • 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_69c6995c463c8190a14458036249d419 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702cbe74081908502ac670515fa3c completed March 27, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b50cf3208190af9bb2d4126d381b completed March 29, 2026, 5:13 a.m.
Created at: March 27, 2026, 4:04 p.m.