Triple

T22435577
Position Surface form Disambiguated ID Type / Status
Subject Schlossplatz Höchst E554612 entity
Predicate nameMeaning P453 FINISHED
Object Castle Square Höchst 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: Castle Square Höchst | Statement: [Schlossplatz Höchst, nameMeaning, Castle Square Höchst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castle Square Höchst
Context triple: [Schlossplatz Höchst, nameMeaning, Castle Square Höchst]
  • A. Schlossplatz Höchst chosen
    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.
  • B. Höchst
    Höchst is a municipality in the Austrian state of Vorarlberg, located near the Swiss border along the Rhine River.
  • C. Höchst
    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.
  • D. Luitpoldhain
    Luitpoldhain is a large park in Nuremberg, Germany, historically known for its use as a major site for Nazi Party rallies and now serving as a public recreational and event space.
  • E. Konstablerwache square
    Konstablerwache square is a major public square and transport hub in central Frankfurt, known for its busy shopping streets, markets, and connections to the city’s urban rail network.
  • 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.