Triple

T17678164
Position Surface form Disambiguated ID Type / Status
Subject Frankfurt Egelsbach Airport E440691 entity
Predicate locatedInMunicipality P40 FINISHED
Object Egelsbach NE NERFINISHED

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: Egelsbach | Statement: [Frankfurt Egelsbach Airport, locatedInMunicipality, Egelsbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Egelsbach
Context triple: [Frankfurt Egelsbach Airport, locatedInMunicipality, Egelsbach]
  • A. Egelsbach chosen
    Egelsbach is a municipality in the German state of Hesse, located between Frankfurt am Main and Darmstadt and known for its general aviation airfield.
  • B. Eifgenbach
    Eifgenbach is a small river in North Rhine-Westphalia, Germany, that flows through the Bergisches Land region before joining the Wupper.
  • C. Eschbach
    Eschbach is a village and district of the town of Usingen in the Hochtaunus region of Hesse, Germany.
  • D. Buhlbach
    Buhlbach is a small locality or district within the Black Forest municipality of Baiersbronn in southwestern Germany.
  • E. Oberleichtersbach
    Oberleichtersbach is a small municipality in the Bavarian region of Lower Franconia in Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f6e959c819092d9d33e79bd51f7 completed April 19, 2026, 6 a.m.
Created at: April 10, 2026, 10:01 a.m.