Triple

T22435901
Position Surface form Disambiguated ID Type / Status
Subject Nied E554621 entity
Predicate adjacentTo P224 FINISHED
Object Höchst (Frankfurt district) 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 (Frankfurt district) | Statement: [Nied, adjacentTo, Höchst (Frankfurt district)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Höchst (Frankfurt district)
Context triple: [Nied, adjacentTo, Höchst (Frankfurt district)]
  • A. Höchst
    Höchst is a municipality in the Austrian state of Vorarlberg, located near the Swiss border along the Rhine River.
  • B. 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.
  • C. Frankfurt Bockenheim district
    Frankfurt Bockenheim district is a central urban quarter of Frankfurt am Main, Germany, known for its mix of residential areas, commercial activity, and proximity to major transport links and educational institutions.
  • D. Frankfurt-Höchst
    Frankfurt-Höchst is a district in the west of Frankfurt am Main, Germany, known for its historic old town, industrial areas, and regional transport connections.
  • E. Frankfurt (Main) Süd
    Frankfurt (Main) Süd is a major railway station in Frankfurt am Main, Germany, serving regional, S-Bahn, and long-distance trains south of the city center.
  • 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_69f15ade60508190b0100d5c2843b920 completed April 29, 2026, 1:11 a.m.
Created at: April 16, 2026, 8:47 p.m.