Triple

T19162502
Position Surface form Disambiguated ID Type / Status
Subject Suisse normande E469090 entity
Predicate hasRiver P165 FINISHED
Object Rouvre
The Rouvre is a river in northwestern France that flows through the scenic, hilly landscapes of the Suisse normande region.
 E1361075 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: Rouvre | Statement: [Suisse normande, hasRiver, Rouvre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rouvre
Context triple: [Suisse normande, hasRiver, Rouvre]
  • A. Oubre
    Oubre is a surname of French origin borne by various individuals, including professionals in fields such as education, sports, and the arts.
  • B. Reopalu
    Reopalu is a small settlement located in Järva County in central Estonia.
  • C. Recouvrance
    Recouvrance is a historic district of Brest, France, known for its maritime heritage, military installations, and traditional working-class character.
  • D. Reperage
    Reperage is a film production company known for its involvement in projects such as the movie "Wolf Totem."
  • E. La Source
    La Source is the original French title of the 1960 Swedish film "The Virgin Spring," directed by Ingmar Bergman.
  • 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: Rouvre
Triple: [Suisse normande, hasRiver, Rouvre]
Generated description
The Rouvre is a river in northwestern France that flows through the scenic, hilly landscapes of the Suisse normande region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rouvre
Target entity description: The Rouvre is a river in northwestern France that flows through the scenic, hilly landscapes of the Suisse normande region.
  • A. Oubre
    Oubre is a surname of French origin borne by various individuals, including professionals in fields such as education, sports, and the arts.
  • B. Reopalu
    Reopalu is a small settlement located in Järva County in central Estonia.
  • C. Recouvrance
    Recouvrance is a historic district of Brest, France, known for its maritime heritage, military installations, and traditional working-class character.
  • D. Reperage
    Reperage is a film production company known for its involvement in projects such as the movie "Wolf Totem."
  • E. La Source
    La Source is the original French title of the 1960 Swedish film "The Virgin Spring," directed by Ingmar Bergman.
  • 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5eebe03ac8190bbe0b34ebf0d90c6 completed April 20, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f25cc54c819096b3cac034630990 completed May 15, 2026, 10:15 a.m.
NEDg Description generation batch_6a06f375f2d4819084f53e73f9573ee8 completed May 15, 2026, 10:20 a.m.
NED2 Entity disambiguation (via description) batch_6a06f45351208190988e70cf325f554f completed May 15, 2026, 10:24 a.m.
Created at: April 10, 2026, 12:06 p.m.