Triple

T12618005
Position Surface form Disambiguated ID Type / Status
Subject Memmingen E301302 entity
Predicate twinTown P1072 FINISHED
Object Auch E85342 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: Auch | Statement: [Memmingen, twinTown, Auch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Auch
Context triple: [Memmingen, twinTown, Auch]
  • A. Auch chosen
    Auch is a historic town in southwestern France that serves as the capital of the Gers department and is known for its cathedral and medieval old town.
  • B. Ook
    Ook is the mascot of the Northern Alberta Institute of Technology, typically depicted as a spirited owl symbolizing the school’s identity and athletic teams.
  • C. Eitel
    Eitel is the introspective, spiritually searching protagonist of Norman Mailer’s novel "The Deer Park."
  • D. Braunshardt
    Braunshardt is a district of the town of Weiterstadt in the state of Hesse, Germany.
  • E. Aujon
    Aujon is a river in northeastern France that flows through the Haute-Marne department.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d960c63ea48190ae1aae9280a023a6 completed April 10, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ed507988190b9d46586f3c3584c completed May 2, 2026, 8:30 p.m.
Created at: April 9, 2026, 5:13 p.m.