Triple

T7584693
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Draguignan E179576 entity
Predicate contains P35 FINISHED
Object Aups
Aups is a picturesque commune in southeastern France’s Var department, known for its Provençal charm, truffle markets, and proximity to the Verdon Gorge.
 E674477 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: Aups | Statement: [arrondissement of Draguignan, contains, Aups]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aups
Context triple: [arrondissement of Draguignan, contains, Aups]
  • A. Wusse
    Wusse is a small settlement in the German state of Mecklenburg-Vorpommern that serves as the administrative seat of the municipality of Ummanz.
  • B. Poulus
    Poulus is a personal name variant derived from the given name Poul.
  • C. Arumpone
    Arumpone is the monarch who presides over the fictional realm known as the Kingdom of Bone.
  • D. Aokas
    Aokas is a coastal town in northern Algeria known for its Mediterranean beaches, karst caves, and location along the scenic shoreline of Béjaïa Province.
  • E. Alupka
    Alupka is a resort town on the southern coast of Crimea, known for the Neo-Gothic and Moorish-style Vorontsov Palace and its scenic location at the foot of Mount Ai-Petri.
  • 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: Aups
Triple: [arrondissement of Draguignan, contains, Aups]
Generated description
Aups is a picturesque commune in southeastern France’s Var department, known for its Provençal charm, truffle markets, and proximity to the Verdon Gorge.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aups
Target entity description: Aups is a picturesque commune in southeastern France’s Var department, known for its Provençal charm, truffle markets, and proximity to the Verdon Gorge.
  • A. Wusse
    Wusse is a small settlement in the German state of Mecklenburg-Vorpommern that serves as the administrative seat of the municipality of Ummanz.
  • B. Poulus
    Poulus is a personal name variant derived from the given name Poul.
  • C. Arumpone
    Arumpone is the monarch who presides over the fictional realm known as the Kingdom of Bone.
  • D. Aokas
    Aokas is a coastal town in northern Algeria known for its Mediterranean beaches, karst caves, and location along the scenic shoreline of Béjaïa Province.
  • E. Alupka
    Alupka is a resort town on the southern coast of Crimea, known for the Neo-Gothic and Moorish-style Vorontsov Palace and its scenic location at the foot of Mount Ai-Petri.
  • 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_69c69f335248819093c1006f30513708 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f993cd0c8190864f801074625a32 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c861812e08819097fd14fe2b8fee13 completed March 28, 2026, 11:17 p.m.
NEDg Description generation batch_69c862466fd481908ea5772e76a88d95 completed March 28, 2026, 11:20 p.m.
NED2 Entity disambiguation (via description) batch_69c862cae0448190859a07db338e1de7 completed March 28, 2026, 11:22 p.m.
Created at: March 27, 2026, 3:52 p.m.