Triple

T6925409
Position Surface form Disambiguated ID Type / Status
Subject Egelsbach Airfield E160292 entity
Predicate locatedIn P40 FINISHED
Object Egelsbach E160292 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: Egelsbach | Statement: [Egelsbach Airfield, locatedIn, Egelsbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Egelsbach
Context triple: [Egelsbach Airfield, locatedIn, 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. Vöhrenbach
    Vöhrenbach is a small town in the Black Forest region of Baden-Württemberg, Germany, known for its picturesque setting and traditional clockmaking heritage.
  • C. Hilchenbach
    Hilchenbach is a small town in the Siegerland region of North Rhine-Westphalia, Germany, known for its wooded hills and proximity to the Rothaar Mountains.
  • D. Lüßbach
    Lüßbach is a small river in Bavaria, Germany, that serves as one of the tributaries feeding into Lake Starnberg.
  • E. Eggersriet
    Eggersriet is a municipality in the canton of St. Gallen in northeastern Switzerland, situated in a hilly area overlooking Lake Constance.
  • 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_69c6884d350081908d8a970e4d40ad78 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da18b6388190947dfc1eb9e5d382 completed March 27, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7513fddd88190b99c4b7e3364d218 completed March 28, 2026, 3:55 a.m.
Created at: March 27, 2026, 2:26 p.m.