Triple

T2840667
Position Surface form Disambiguated ID Type / Status
Subject Tarn River E62457 entity
Predicate valleyName P650 FINISHED
Object Vallée du Tarn
Vallée du Tarn is a scenic river valley in southern France known for its dramatic gorges, medieval villages, and outdoor recreation such as kayaking and hiking.
 E379069 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: Vallée du Tarn | Statement: [Tarn River, valleyName, Vallée du Tarn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vallée du Tarn
Context triple: [Tarn River, valleyName, Vallée du Tarn]
  • A. Ariège
    Ariège is a department in southwestern France, known for its Pyrenean landscapes, medieval castles, and rich Occitan culture.
  • B. Ariège
    Ariège is a river in southwestern France that flows through the Pyrenees before joining the Garonne.
  • C. Cère
    Cère is a river in south-central France that flows through the Cantal department as a tributary of the Dordogne.
  • 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. Creuse
    Creuse is a rural department in central France known for its sparsely populated landscapes, traditional agriculture, and part of the historic Limousin region.
  • 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: Vallée du Tarn
Triple: [Tarn River, valleyName, Vallée du Tarn]
Generated description
Vallée du Tarn is a scenic river valley in southern France known for its dramatic gorges, medieval villages, and outdoor recreation such as kayaking and hiking.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vallée du Tarn
Target entity description: Vallée du Tarn is a scenic river valley in southern France known for its dramatic gorges, medieval villages, and outdoor recreation such as kayaking and hiking.
  • A. Ariège
    Ariège is a department in southwestern France, known for its Pyrenean landscapes, medieval castles, and rich Occitan culture.
  • B. Ariège
    Ariège is a river in southwestern France that flows through the Pyrenees before joining the Garonne.
  • C. Cère
    Cère is a river in south-central France that flows through the Cantal department as a tributary of the Dordogne.
  • 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. Creuse
    Creuse is a rural department in central France known for its sparsely populated landscapes, traditional agriculture, and part of the historic Limousin region.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf15b7288190a03d1193cc0544a6 completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69b4c358374c819089e8c16d4115c409 completed March 14, 2026, 2:09 a.m.
NEDg Description generation batch_69b4c472b79c8190b8e52be99139887a completed March 14, 2026, 2:14 a.m.
NED2 Entity disambiguation (via description) batch_69b4c4c503a08190b5e1617c4f63ef37 completed March 14, 2026, 2:15 a.m.
Created at: March 6, 2026, 10:01 p.m.