Triple

T12551124
Position Surface form Disambiguated ID Type / Status
Subject Columbiadamm E300097 entity
Predicate hasNearbyFacility P5648 FINISHED
Object Tempelhofer Feld Park E62023 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: Tempelhofer Feld Park | Statement: [Columbiadamm, hasNearbyFacility, Tempelhofer Feld Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tempelhofer Feld Park
Context triple: [Columbiadamm, hasNearbyFacility, Tempelhofer Feld Park]
  • A. Tempelhofer Feld chosen
    Tempelhofer Feld is a vast public park and former airport in Berlin, Germany, known for its open runways, recreational spaces, and historical significance, including its role in the Berlin Airlift.
  • B. Mauerpark
    Mauerpark is a popular public park and cultural hotspot in Berlin, known for its lively flea market, street performances, and open-air karaoke.
  • C. Volkspark Prenzlauer Berg
    Volkspark Prenzlauer Berg is a large public park in Berlin known for its landscaped hills, walking paths, and recreational green spaces.
  • D. Volkspark Friedrichshain
    Volkspark Friedrichshain is a large historic public park in Berlin known for its wooded hills, walking paths, and recreational facilities.
  • E. Görlitzer Park
    Görlitzer Park is a large, historically significant urban green space in Berlin’s Kreuzberg district, known for its diverse social scene and cultural events.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95482c1348190b6f964decef5cc0a completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6685f99a08190b6fe4cc10f1c8d73 completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:58 p.m.