Triple

T22435417
Position Surface form Disambiguated ID Type / Status
Subject Ortsbezirk Süd E554608 entity
Predicate hasPart P35 FINISHED
Object Flughafen district of Frankfurt am Main NE NERFINISHED

How this triple was built (3 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: Flughafen district of Frankfurt am Main | Statement: [Ortsbezirk Süd, hasPart, Flughafen district of Frankfurt am Main]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flughafen district of Frankfurt am Main
Context triple: [Ortsbezirk Süd, hasPart, Flughafen district of Frankfurt am Main]
  • A. Bornheim district of Frankfurt am Main
    The Bornheim district of Frankfurt am Main is a lively, traditionally working-class yet increasingly trendy neighborhood known for its historic streets, pubs, and village-like atmosphere within the city.
  • B. 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.
  • C. 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.
  • D. Bahnhofsviertel (Frankfurt am Main)
    Bahnhofsviertel (Frankfurt am Main) is a central Frankfurt district known for its dense mix of offices, nightlife, red-light area, diverse immigrant culture, and proximity to the city’s main railway station.
  • E. For Frankfurt
    For Frankfurt is a public art installation by American conceptual artist Jenny Holzer that features her signature text-based LED displays and stone benches, engaging viewers with provocative, politically charged language in an urban setting.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Flughafen district of Frankfurt am Main
Target entity description: The Flughafen district of Frankfurt am Main is the area encompassing Frankfurt Airport and its surrounding facilities, forming a major international transport and business hub of the city.
  • A. Bornheim district of Frankfurt am Main
    The Bornheim district of Frankfurt am Main is a lively, traditionally working-class yet increasingly trendy neighborhood known for its historic streets, pubs, and village-like atmosphere within the city.
  • B. 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.
  • C. 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.
  • D. Bahnhofsviertel (Frankfurt am Main)
    Bahnhofsviertel (Frankfurt am Main) is a central Frankfurt district known for its dense mix of offices, nightlife, red-light area, diverse immigrant culture, and proximity to the city’s main railway station.
  • E. For Frankfurt
    For Frankfurt is a public art installation by American conceptual artist Jenny Holzer that features her signature text-based LED displays and stone benches, engaging viewers with provocative, politically charged language in an urban setting.
  • F. None of above. chosen

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.