Triple

T21180303
Position Surface form Disambiguated ID Type / Status
Subject Gera tram network E521929 entity
Predicate hasStop P17789 FINISHED
Object Gera Hauptbahnhof (tram stop) 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: Gera Hauptbahnhof (tram stop) | Statement: [Gera tram network, hasStop, Gera Hauptbahnhof (tram stop)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gera Hauptbahnhof (tram stop)
Context triple: [Gera tram network, hasStop, Gera Hauptbahnhof (tram stop)]
  • A. Gera Hauptbahnhof chosen
    Gera Hauptbahnhof is the main railway station and central transport hub of the city of Gera in Thuringia, Germany.
  • B. Schwamendingerplatz tram stop
    Schwamendingerplatz tram stop is a public transport stop in the Schwamendingen district of Zürich, Switzerland, served by multiple lines of the Zürich tram network.
  • C. Leimbach tram stop
    Leimbach tram stop is a public transport stop on the Zürich tram network serving the Leimbach district of Zürich, Switzerland.
  • D. Gera tram network
    The Gera tram network is the urban light rail system serving the city of Gera in Thuringia, Germany, providing local public transport across the city and surrounding areas.
  • E. Elbgaustraße station
    Elbgaustraße station is a Hamburg S-Bahn railway station in the Eidelstedt area of Hamburg, Germany, serving as a local commuter transit stop.
  • 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_69e0b50ef1d48190b063aa342667df22 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7301c842c8190b969a8b3f194003a completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 3:01 p.m.