Triple

T16172933
Position Surface form Disambiguated ID Type / Status
Subject Musée de l’Armagnac de Condom E392484 entity
Predicate regionServed P82 FINISHED
Object Condom area E85344 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: Condom area | Statement: [Musée de l’Armagnac de Condom, regionServed, Condom area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Condom area
Context triple: [Musée de l’Armagnac de Condom, regionServed, Condom area]
  • A. Condom chosen
    Condom is a small historic town in southwestern France, known for its medieval architecture and location in the Armagnac-producing region.
  • B. Durex
    Durex is a globally recognized brand of condoms and sexual health products known for its focus on safety, reliability, and intimate wellbeing.
  • C. Soma Intimates
    Soma Intimates is an American women’s lingerie and loungewear retailer known for its comfortable, body-inclusive bras, panties, sleepwear, and related apparel.
  • D. Butt
    Butt is the talking hoopoe bird who serves as a quirky, fast-flying mail carrier and guide in Salman Rushdie’s novel "Haroun and the Sea of Stories."
  • E. Yoni
    Yoni is a common Hebrew diminutive form of the given name Yonatan (Jonathan).
  • 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21eb88c948190a1d8b5518694ad53 completed April 17, 2026, 11:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7bfc3ac819082596cc533c5faa4 completed May 10, 2026, 3:13 a.m.
Created at: April 10, 2026, 5:02 a.m.