Triple

T3840085
Position Surface form Disambiguated ID Type / Status
Subject Loire-Atlantique E93428 entity
Predicate containsCity P294 FINISHED
Object Vallet
Vallet is a small French commune known for its wine production in the Loire Valley region of western France.
E393205 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: Vallet | Statement: [Loire-Atlantique, containsCity, Vallet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vallet
Context triple: [Loire-Atlantique, containsCity, Vallet]
  • A. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • B. Vallettan
    Vallettan is the demonym for a resident or native of Valletta, the capital city of Malta.
  • C. Bertioga
    Bertioga is a coastal municipality in the state of São Paulo, Brazil, known for its beaches and Atlantic Forest landscapes.
  • D. Cayor
    Cayor was a precolonial Wolof kingdom in what is now Senegal, emerging as a major regional power after the decline of the Wolof Empire.
  • E. Louvois
    Louvois was a powerful French statesman, best known as Louis XIV’s influential war minister who significantly shaped France’s military administration in the late 17th century.
  • 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: Vallet
Triple: [Loire-Atlantique, containsCity, Vallet]
Generated description
Vallet is a small French commune known for its wine production in the Loire Valley region of western France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vallet
Target entity description: Vallet is a small French commune known for its wine production in the Loire Valley region of western France.
  • A. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • B. Vallettan
    Vallettan is the demonym for a resident or native of Valletta, the capital city of Malta.
  • C. Bertioga
    Bertioga is a coastal municipality in the state of São Paulo, Brazil, known for its beaches and Atlantic Forest landscapes.
  • D. Cayor
    Cayor was a precolonial Wolof kingdom in what is now Senegal, emerging as a major regional power after the decline of the Wolof Empire.
  • E. Louvois
    Louvois was a powerful French statesman, best known as Louis XIV’s influential war minister who significantly shaped France’s military administration in the late 17th century.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeeba1535c8190b36e2ab2d4514b54 completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5040a8b808190874ad1a5152adf1f completed March 14, 2026, 6:45 a.m.
NEDg Description generation batch_69b504b2ba748190af2df2a318ab0693 completed March 14, 2026, 6:48 a.m.
NED2 Entity disambiguation (via description) batch_69b50534242c8190a1d4658e7896c2be completed March 14, 2026, 6:50 a.m.
Created at: March 9, 2026, 3:18 p.m.