Triple

T6638406
Position Surface form Disambiguated ID Type / Status
Subject William of Sens E150516 entity
Predicate origin P410 FINISHED
Object Sens E225980 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: Sens | Statement: [William of Sens, origin, Sens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sens
Context triple: [William of Sens, origin, Sens]
  • A. Sens chosen
    Sens is a historic commune in north-central France known for its impressive Gothic cathedral and role as a regional administrative and commercial center.
  • B. Senne
    The Senne is a small river flowing through Brussels, Belgium, much of which has been covered over as the city developed.
  • C. Sinn
    Sinn is a river in northern Bavaria, Germany, that flows through the Lower Franconia region.
  • D. Sensation
    Sensation was a highly controversial late-1990s art exhibition showcasing works by the Young British Artists, including Damien Hirst and Tracey Emin, that sparked intense public and media debate over contemporary art and censorship.
  • E. Savines
    Savines was a former village in southeastern France that was submerged during the creation of the Serre-Ponçon reservoir and later rebuilt nearby as Savines-le-Lac.
  • 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_69c687f0ceb08190bf40807bfc605fa5 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aff082b0819089f5a69aa67d5346 completed March 27, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eeed01608190bbc6461ac8c3cadb completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 2 p.m.