Triple

T18450342
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Apt E450763 entity
Predicate contains P35 FINISHED
Object Taillades
Taillades is a small commune in southeastern France’s Vaucluse department, known for its Provençal charm and proximity to the Luberon mountains.
E1325642 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: Taillades | Statement: [arrondissement of Apt, contains, Taillades]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taillades
Context triple: [arrondissement of Apt, contains, Taillades]
  • A. Seigneux
    Seigneux is a small municipality in the canton of Fribourg in western Switzerland.
  • B. Tortelier
    Tortelier is a French surname most prominently associated with the renowned 20th-century cellist and conductor Paul Tortelier.
  • C. Gagnière
    Gagnière is a French surname, likely of regional origin, associated with individuals such as Mahoudeau.
  • D. Chevalle
    Chevalle is a pirate lord from the Pirates of the Caribbean universe, serving as one of the members of the Brethren Court.
  • E. Laveissière
    Laveissière is a small commune in the Cantal department of south-central France, situated in the mountainous Auvergne region.
  • 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: Taillades
Triple: [arrondissement of Apt, contains, Taillades]
Generated description
Taillades is a small commune in southeastern France’s Vaucluse department, known for its Provençal charm and proximity to the Luberon mountains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Taillades
Target entity description: Taillades is a small commune in southeastern France’s Vaucluse department, known for its Provençal charm and proximity to the Luberon mountains.
  • A. Seigneux
    Seigneux is a small municipality in the canton of Fribourg in western Switzerland.
  • B. Tortelier
    Tortelier is a French surname most prominently associated with the renowned 20th-century cellist and conductor Paul Tortelier.
  • C. Gagnière
    Gagnière is a French surname, likely of regional origin, associated with individuals such as Mahoudeau.
  • D. Chevalle
    Chevalle is a pirate lord from the Pirates of the Caribbean universe, serving as one of the members of the Brethren Court.
  • E. Laveissière
    Laveissière is a small commune in the Cantal department of south-central France, situated in the mountainous Auvergne region.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5264748dc8190984501af3e4b2036 completed April 19, 2026, 7 p.m.
NED1 Entity disambiguation (via context triple) batch_6a040fe3a8248190ab103d8e41141113 completed May 13, 2026, 5:45 a.m.
NEDg Description generation batch_6a041176a7e88190a38e3ace547212c2 completed May 13, 2026, 5:51 a.m.
NED2 Entity disambiguation (via description) batch_6a0412085b788190b4308f7ece1c7fa3 completed May 13, 2026, 5:54 a.m.
Created at: April 10, 2026, 11:31 a.m.