Triple

T15482448
Position Surface form Disambiguated ID Type / Status
Subject Voire River E376951 entity
Predicate hasNameInLanguage P15 FINISHED
Object Voire
Voire is a French river known locally as the Voire, flowing through the Grand Est region of northeastern France.
E1158504 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: Voire | Statement: [Voire River, hasNameInLanguage, Voire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Voire
Context triple: [Voire River, hasNameInLanguage, Voire]
  • A. Vosgien
    Vosgien is a regional dialect of the Lorrain language spoken in the Vosges area of northeastern France.
  • B. Cottévrard
    Cottévrard is a small commune in the Seine-Maritime department of the Normandy region in northern France.
  • C. Viaur
    The Viaur is a river in southern France that flows through the Aveyron and Tarn departments before joining the Aveyron River.
  • D. Thiérache
    Thiérache is a rural, historically fortified region in northern France known for its bocage landscapes, brick churches, and traditional dairy production.
  • E. Verdunois
    Verdunois is a regional dialect of the Lorrain Romance language traditionally spoken around the area of Verdun in northeastern France.
  • 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: Voire
Triple: [Voire River, hasNameInLanguage, Voire]
Generated description
Voire is a French river known locally as the Voire, flowing through the Grand Est region of northeastern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Voire
Target entity description: Voire is a French river known locally as the Voire, flowing through the Grand Est region of northeastern France.
  • A. Vosgien
    Vosgien is a regional dialect of the Lorrain language spoken in the Vosges area of northeastern France.
  • B. Cottévrard
    Cottévrard is a small commune in the Seine-Maritime department of the Normandy region in northern France.
  • C. Viaur
    The Viaur is a river in southern France that flows through the Aveyron and Tarn departments before joining the Aveyron River.
  • D. Thiérache
    Thiérache is a rural, historically fortified region in northern France known for its bocage landscapes, brick churches, and traditional dairy production.
  • E. Verdunois
    Verdunois is a regional dialect of the Lorrain Romance language traditionally spoken around the area of Verdun in northeastern France.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8cb4388190a3b4c92c3bb4ad4f completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d0f4e648190b9cd9b1464209224 completed May 9, 2026, 12:48 p.m.
NEDg Description generation batch_69ff2de2d82c819085d903a538313e70 completed May 9, 2026, 12:51 p.m.
NED2 Entity disambiguation (via description) batch_69ff2ea08ad08190b3ecf29bfe7a809a completed May 9, 2026, 12:54 p.m.
Created at: April 10, 2026, 3:38 a.m.