Triple

T8797516
Position Surface form Disambiguated ID Type / Status
Subject Glashütten E209325 entity
Predicate locatedIn P40 FINISHED
Object Hochtaunus district E762870 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: Hochtaunus district | Statement: [Glashütten, locatedIn, Hochtaunus district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hochtaunus district
Context triple: [Glashütten, locatedIn, Hochtaunus district]
  • A. Hochtaunus district chosen
    Hochtaunus district is a rural administrative district in the German state of Hesse, known for encompassing part of the Taunus mountain range and several historic towns.
  • B. Main-Taunus-Kreis
    Main-Taunus-Kreis is a district in the German state of Hesse, located west of Frankfurt am Main and known for its affluent communities and strong economic profile.
  • C. Groß-Gerau district
    Groß-Gerau district is an administrative district in the German state of Hesse, located in the southern part of the Rhine-Main metropolitan region.
  • D. Enzkreis district
    Enzkreis district is a rural administrative district in the state of Baden-Württemberg in southwestern Germany, surrounding but not including the city of Pforzheim.
  • E. Vaihingen district
    Vaihingen district is a borough of Stuttgart, Germany, known for its mix of residential areas, commercial zones, and several U.S. military facilities.
  • 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_69ca836240888190a62b262e56a69d2f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fa370d08190885ef65e3a3e56d3 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfab60ee608190af9f4aba631b42ef completed April 3, 2026, 11:58 a.m.
Created at: March 30, 2026, 6:44 p.m.