Triple

T7036085
Position Surface form Disambiguated ID Type / Status
Subject River Ill E163387 entity
Predicate flowsThrough P225 FINISHED
Object Sélestat E57547 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: Sélestat | Statement: [River Ill, flowsThrough, Sélestat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sélestat
Context triple: [River Ill, flowsThrough, Sélestat]
  • A. Sélestat chosen
    Sélestat is a historic town in the Alsace region of northeastern France, known for its well-preserved medieval architecture and cultural heritage.
  • B. Wissembourg
    Wissembourg is a historic town in northeastern France’s Alsace region, known for its well-preserved medieval architecture and proximity to the German border.
  • C. Kaysersberg
    Kaysersberg is a picturesque medieval town in France’s Alsace region, renowned for its half-timbered houses, hillside vineyards, and well-preserved historic charm.
  • D. Molsheim
    Molsheim is a historic town in northeastern France’s Grand Est region, known for its medieval architecture and as the birthplace of the Bugatti automobile brand.
  • E. Lörrach
    Lörrach is a town in southwest Germany’s Baden-Württemberg state, near the borders with Switzerland and France, known for its proximity to Basel and its role as a regional economic and cultural center.
  • 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_69c6885e7c1c8190be32a8f79ab4e0cf completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e220508c8190b8950cf38280b8c2 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c78863c2fc8190b9b54613968742e1 completed March 28, 2026, 7:50 a.m.
Created at: March 27, 2026, 2:36 p.m.