Triple

T2505188
Position Surface form Disambiguated ID Type / Status
Subject Cantal E52560 entity
Predicate hasRiver P165 FINISHED
Object Cère
Cère is a river in south-central France that flows through the Cantal department as a tributary of the Dordogne.
 E348249 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: Cère | Statement: [Cantal, hasRiver, Cère]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cère
Context triple: [Cantal, hasRiver, Cère]
  • A. Creuse
    Creuse is a rural department in central France known for its sparsely populated landscapes, traditional agriculture, and part of the historic Limousin region.
  • B. Ariège
    Ariège is a department in southwestern France, known for its Pyrenean landscapes, medieval castles, and rich Occitan culture.
  • C. Ariège
    Ariège is a river in southwestern France that flows through the Pyrenees before joining the Garonne.
  • D. Le Gardon
    Le Gardon is a river in southern France known for flowing through the Cévennes region and under the famous Pont du Gard Roman aqueduct.
  • E. Sorgue River
    The Sorgue River is a picturesque waterway in southeastern France, known for its clear springs, historic waterwheels, and scenic Provençal towns along its banks.
  • 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: Cère
Triple: [Cantal, hasRiver, Cère]
Generated description
Cère is a river in south-central France that flows through the Cantal department as a tributary of the Dordogne.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cère
Target entity description: Cère is a river in south-central France that flows through the Cantal department as a tributary of the Dordogne.
  • A. Creuse
    Creuse is a rural department in central France known for its sparsely populated landscapes, traditional agriculture, and part of the historic Limousin region.
  • B. Ariège
    Ariège is a department in southwestern France, known for its Pyrenean landscapes, medieval castles, and rich Occitan culture.
  • C. Ariège
    Ariège is a river in southwestern France that flows through the Pyrenees before joining the Garonne.
  • D. Le Gardon
    Le Gardon is a river in southern France known for flowing through the Cévennes region and under the famous Pont du Gard Roman aqueduct.
  • E. Sorgue River
    The Sorgue River is a picturesque waterway in southeastern France, known for its clear springs, historic waterwheels, and scenic Provençal towns along its banks.
  • 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1cec9f48190848b6129aa394ce4 completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69b31a46eea081909e1faf639f7789ff completed March 12, 2026, 7:55 p.m.
NEDg Description generation batch_69b31c33fc3c8190b5af3f38206736de completed March 12, 2026, 8:04 p.m.
NED2 Entity disambiguation (via description) batch_69b31c9f48788190bdf4b4ce47e1e5b5 completed March 12, 2026, 8:05 p.m.
Created at: March 6, 2026, 9:46 p.m.