Triple

T16245328
Position Surface form Disambiguated ID Type / Status
Subject Vidourle E394356 entity
Predicate flowsThrough P225 FINISHED
Object Quissac
Quissac is a small commune in southern France’s Gard department, known for its rural charm and location along the Vidourle River.
 E1211115 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: Quissac | Statement: [Vidourle, flowsThrough, Quissac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Quissac
Context triple: [Vidourle, flowsThrough, Quissac]
  • A. Beaucaire
    Beaucaire is a historic town in southern France known for its medieval architecture and its location along the Rhône River.
  • B. Allassac
    Allassac is a commune in central France’s Corrèze department, known for its slate quarries, historic architecture, and location near Brive-la-Gaillarde.
  • C. Ussel
    Ussel is a small commune in central France known as a local administrative and service center in the Corrèze department of the Nouvelle-Aquitaine region.
  • D. Caudéran
    Caudéran is a residential district in the western part of Bordeaux, France, known for its parks and suburban character.
  • E. Pélissanne
    Pélissanne is a small commune in the Bouches-du-Rhône department of southern France, known for its Provençal character and historic village center.
  • 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: Quissac
Triple: [Vidourle, flowsThrough, Quissac]
Generated description
Quissac is a small commune in southern France’s Gard department, known for its rural charm and location along the Vidourle River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Quissac
Target entity description: Quissac is a small commune in southern France’s Gard department, known for its rural charm and location along the Vidourle River.
  • A. Beaucaire
    Beaucaire is a historic town in southern France known for its medieval architecture and its location along the Rhône River.
  • B. Allassac
    Allassac is a commune in central France’s Corrèze department, known for its slate quarries, historic architecture, and location near Brive-la-Gaillarde.
  • C. Ussel
    Ussel is a small commune in central France known as a local administrative and service center in the Corrèze department of the Nouvelle-Aquitaine region.
  • D. Caudéran
    Caudéran is a residential district in the western part of Bordeaux, France, known for its parks and suburban character.
  • E. Pélissanne
    Pélissanne is a small commune in the Bouches-du-Rhône department of southern France, known for its Provençal character and historic village center.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24561d250819096f709ea8751fcb9 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a003c48c5cc8190ba99154e99942316 completed May 10, 2026, 8:05 a.m.
NEDg Description generation batch_6a003d449da881908eb66b2e9c20729e completed May 10, 2026, 8:09 a.m.
NED2 Entity disambiguation (via description) batch_6a003d9c6f1881909c0155c0fd3f9872 completed May 10, 2026, 8:11 a.m.
Created at: April 10, 2026, 5:04 a.m.