Triple

T16512689
Position Surface form Disambiguated ID Type / Status
Subject Fernmeldeturm Frankfurt E401100 entity
Predicate locatedInDistrict P40 FINISHED
Object Ginnheim E1017273 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: Ginnheim | Statement: [Fernmeldeturm Frankfurt, locatedInDistrict, Ginnheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ginnheim
Context triple: [Fernmeldeturm Frankfurt, locatedInDistrict, Ginnheim]
  • A. Ginnheim chosen
    Ginnheim is a district in Frankfurt am Main, Germany, known for its residential character and public transport connections, including serving as a terminus for a major tram or metro line.
  • B. Rheingönheim
    Rheingönheim is a district of the industrial city of Ludwigshafen am Rhein in the German state of Rhineland-Palatinate.
  • C. Griesheim
    Griesheim is a town in the German state of Hesse, located near the city of Darmstadt and known for its residential character and local industry.
  • D. Kottenheim
    Kottenheim is a small municipality in western Germany’s Rhineland-Palatinate region, known for its volcanic landscape and traditional stone quarrying.
  • E. Ginsheim-Gustavsburg
    Ginsheim-Gustavsburg is a municipality in the German state of Hesse, located near Mainz at the confluence of the Rhine and Main rivers and known for its industrial areas and riverside setting.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e77d9b081909235cb5ba77d1e29 completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0060827d988190b2c0c075a49dfde8 completed May 10, 2026, 10:40 a.m.
Created at: April 10, 2026, 5:14 a.m.