Triple

T2175472
Position Surface form Disambiguated ID Type / Status
Subject Drôme E48515 entity
Predicate contains P35 FINISHED
Object Diois
Diois is a mountainous, wine-producing region in southeastern France known for its scenic landscapes and sparkling Clairette de Die wine.
 E244402 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: Diois | Statement: [Drôme, contains, Diois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Diois
Context triple: [Drôme, contains, Diois]
  • A. Dilios
    Dilios is the Spartan soldier and narrator in the film "300," known for recounting King Leonidas's stand at Thermopylae.
  • B. Hekademos
    Hekademos (or Hecademus) was an Athenian hero or local figure whose grove outside Athens became the site of Plato’s Academy, giving the school its name.
  • C. Melesias
    Melesias is a character in Plato’s dialogue "Laches," portrayed as a concerned Athenian father seeking guidance on the proper education of his son.
  • D. Thera
    Thera is an ancient Greek island in the Aegean Sea, better known today as Santorini, historically significant as the homeland of colonists who founded Cyrene in North Africa.
  • E. Agrius
    Agrius is a figure from Greek mythology known as one of the sons of the sorceress Circe.
  • 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: Diois
Triple: [Drôme, contains, Diois]
Generated description
Diois is a mountainous, wine-producing region in southeastern France known for its scenic landscapes and sparkling Clairette de Die wine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Diois
Target entity description: Diois is a mountainous, wine-producing region in southeastern France known for its scenic landscapes and sparkling Clairette de Die wine.
  • A. Dilios
    Dilios is the Spartan soldier and narrator in the film "300," known for recounting King Leonidas's stand at Thermopylae.
  • B. Hekademos
    Hekademos (or Hecademus) was an Athenian hero or local figure whose grove outside Athens became the site of Plato’s Academy, giving the school its name.
  • C. Melesias
    Melesias is a character in Plato’s dialogue "Laches," portrayed as a concerned Athenian father seeking guidance on the proper education of his son.
  • D. Thera
    Thera is an ancient Greek island in the Aegean Sea, better known today as Santorini, historically significant as the homeland of colonists who founded Cyrene in North Africa.
  • E. Agrius
    Agrius is a figure from Greek mythology known as one of the sons of the sorceress Circe.
  • 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbece30888190936853740ff6cb02 completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae653b6ae48190ab5c7e6bf2dcfa6f completed March 9, 2026, 6:14 a.m.
NEDg Description generation batch_69ae66411d848190a529018ad3765597 completed March 9, 2026, 6:18 a.m.
NED2 Entity disambiguation (via description) batch_69ae66a751f881908fda164de72dac9b completed March 9, 2026, 6:20 a.m.
Created at: March 4, 2026, 7:45 p.m.