Triple

T10348797
Position Surface form Disambiguated ID Type / Status
Subject Romorantin-Lanthenay E243825 entity
Predicate twinnedWith P1072 FINISHED
Object Langen (Germany) E124114 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: Langen (Germany) | Statement: [Romorantin-Lanthenay, twinnedWith, Langen (Germany)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Langen (Germany)
Context triple: [Romorantin-Lanthenay, twinnedWith, Langen (Germany)]
  • A. Langen, Germany
    Langen is a town in the state of Hesse in central Germany, located between Frankfurt am Main and Darmstadt and known for its residential character and proximity to major transport and economic hubs.
  • B. Langen (Hesse) chosen
    Langen (Hesse) is a town in the Offenbach district of Hesse, Germany, situated between Frankfurt am Main and Darmstadt and known for its residential character and transport connections.
  • C. Langenhagen, Germany
    Langenhagen is a town in Lower Saxony, Germany, located just north of Hanover and known for hosting part of Hanover Airport.
  • D. Celle, Germany
    Celle is a historic town in Lower Saxony, Germany, known for its well-preserved half-timbered old town and ducal palace.
  • E. Seeheim-Jugenheim, Germany
    Seeheim-Jugenheim is a municipality in the German state of Hesse, known for its scenic location on the Bergstraße and its historic villas and spa-town character.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e946cbb881909b88536d0107995d completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7508e325c8190a88c2b972f8a6846 completed April 9, 2026, 7:09 a.m.
Created at: April 6, 2026, 11:56 a.m.