Triple

T18036738
Position Surface form Disambiguated ID Type / Status
Subject Languedoc E431525 entity
Predicate river P165 FINISHED
Object Tarn NE NERFINISHED

How this triple was built (2 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: Tarn | Statement: [Languedoc, river, Tarn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarn
Context triple: [Languedoc, river, Tarn]
  • A. Tarn
    Tarn is a department in southern France known for its scenic river valleys, historic towns like Albi, and a mix of agricultural and industrial landscapes.
  • B. Tarn River chosen
    The Tarn River is a major river in southern France known for its dramatic gorges, scenic valleys, and role as a tributary of the Garonne.
  • C. Weald
    Weald is a historically significant, densely wooded region in southeastern England known for its rolling hills, ancient forests, and traditional rural landscapes.
  • D. Adur Valley
    Adur Valley is a scenic river valley in West Sussex, England, known for its chalk downland landscapes, wildlife habitats, and walking routes along the River Adur.
  • E. Gwendraeth Valley
    Gwendraeth Valley is a rural area in Carmarthenshire, Wales, known for its two Gwendraeth rivers, former coal mining communities, and scenic agricultural landscape.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9050fb48190890155145deb0a66 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4be3a80508190b667c3f6d14f5c84 completed April 19, 2026, 11:36 a.m.
Created at: April 10, 2026, 10:25 a.m.