Triple

T22435490
Position Surface form Disambiguated ID Type / Status
Subject Ortsbezirk 6 Frankfurt am Main E554610 entity
Predicate contains P35 FINISHED
Object Höchst Altstadt 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: Höchst Altstadt | Statement: [Ortsbezirk 6 Frankfurt am Main, contains, Höchst Altstadt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Höchst Altstadt
Context triple: [Ortsbezirk 6 Frankfurt am Main, contains, Höchst Altstadt]
  • A. Höchst chosen
    Höchst is a historic district in western Frankfurt am Main, Germany, known for its well-preserved old town and former industrial and chemical industry sites.
  • B. Höchst
    Höchst is a municipality in the Austrian state of Vorarlberg, located near the Swiss border along the Rhine River.
  • C. Schlossplatz Höchst
    Schlossplatz Höchst is the central historic square in the Höchst district of Frankfurt am Main, known for its traditional architecture and proximity to the local castle and old town.
  • D. Schwanthalerhöhe
    Schwanthalerhöhe is a district in Munich, Germany, known for its mix of historic residential areas, cultural venues, and proximity to the Theresienwiese Oktoberfest grounds.
  • E. Altstadt (Frankfurt am Main)
    Altstadt (Frankfurt am Main) is the historic old town district of Frankfurt, Germany, known for its reconstructed medieval streets, traditional architecture, and major cultural landmarks.
  • 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15adda0e48190825a5b705ae52d5b completed April 29, 2026, 1:11 a.m.
Created at: April 16, 2026, 8:47 p.m.