Triple

T18999114
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Vendôme E464897 entity
Predicate contains P35 FINISHED
Object Mondoubleau
Mondoubleau is a small commune in central France’s Loir-et-Cher department, known for its historic town center and rural surroundings.
E1355818 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: Mondoubleau | Statement: [arrondissement of Vendôme, contains, Mondoubleau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mondoubleau
Context triple: [arrondissement of Vendôme, contains, Mondoubleau]
  • A. Durolle
    Durolle is a river in central France that flows through the town of Thiers, historically powering its renowned cutlery and knife-making industry.
  • B. Mauranger
    Mauranger is a scenic village area in Vestland county, Norway, known for its fjords, glaciers, and dramatic mountain landscapes.
  • C. Mouthe
    Mouthe is a commune in eastern France’s Jura Mountains, known for its harsh winters and extremely low temperatures.
  • D. Lacotte
    Lacotte is a French surname most notably associated with Pierre Lacotte, a renowned ballet dancer, choreographer, and director known for reviving 19th-century ballets.
  • E. Mourtemeno
    Mourtemeno is a small Greek island located off the coast of Syvota in the Ionian Sea, known for its clear waters and scenic coves.
  • 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: Mondoubleau
Triple: [arrondissement of Vendôme, contains, Mondoubleau]
Generated description
Mondoubleau is a small commune in central France’s Loir-et-Cher department, known for its historic town center and rural surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mondoubleau
Target entity description: Mondoubleau is a small commune in central France’s Loir-et-Cher department, known for its historic town center and rural surroundings.
  • A. Durolle
    Durolle is a river in central France that flows through the town of Thiers, historically powering its renowned cutlery and knife-making industry.
  • B. Mauranger
    Mauranger is a scenic village area in Vestland county, Norway, known for its fjords, glaciers, and dramatic mountain landscapes.
  • C. Mouthe
    Mouthe is a commune in eastern France’s Jura Mountains, known for its harsh winters and extremely low temperatures.
  • D. Lacotte
    Lacotte is a French surname most notably associated with Pierre Lacotte, a renowned ballet dancer, choreographer, and director known for reviving 19th-century ballets.
  • E. Mourtemeno
    Mourtemeno is a small Greek island located off the coast of Syvota in the Ionian Sea, known for its clear waters and scenic coves.
  • 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d684d37c8190b975f04a47fa7b92 completed April 20, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05c53ebe208190a35fd823f70217e5 completed May 14, 2026, 12:51 p.m.
NEDg Description generation batch_6a05c89a040481909f0914ad88b3d691 completed May 14, 2026, 1:05 p.m.
NED2 Entity disambiguation (via description) batch_6a05c9064e208190a61a2bd2c979d743 completed May 14, 2026, 1:07 p.m.
Created at: April 10, 2026, 12:01 p.m.