Triple

T6554498
Position Surface form Disambiguated ID Type / Status
Subject Mazamet E152410 entity
Predicate department P1467 FINISHED
Object Tarn E62457 NE FINISHED

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: [Mazamet, department, Tarn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarn
Context triple: [Mazamet, department, Tarn]
  • A. 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.
  • B. Weald
    Weald is a historically significant, densely wooded region in southeastern England known for its rolling hills, ancient forests, and traditional rural landscapes.
  • C. 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.
  • D. Meon Valley
    Meon Valley is a rural river valley in Hampshire, England, known for its picturesque landscapes, historic villages, and walking routes such as the Meon Valley Trail.
  • E. Derwent
    Derwent is a character in Herman Melville’s epic poem "Clarel," serving as one of the intellectual and philosophical voices in the work’s exploration of faith and doubt.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae1c07cc819089c297edad943a57 completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d55707d081908104f08e1d59d603 completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:51 p.m.