Triple

T22979484
Position Surface form Disambiguated ID Type / Status
Subject Vienna U1 line E571419 entity
Predicate terminusSouth P1866 FINISHED
Object Oberlaa station 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: Oberlaa station | Statement: [Vienna U1 line, terminusSouth, Oberlaa station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oberlaa station
Context triple: [Vienna U1 line, terminusSouth, Oberlaa station]
  • A. Oberlaa station chosen
    Oberlaa station is a Vienna U-Bahn station in the Oberlaa area that serves as the southern endpoint of the city's U1 metro line.
  • B. Oberlahnstein station
    Oberlahnstein station is a railway station in the town of Lahnstein, Germany, serving as a regional transport hub on the Rhine and Lahn railway routes.
  • C. Hohenecken station
    Hohenecken station is a local railway stop serving the Hohenecken district in the city of Kaiserslautern, Germany.
  • D. Hartmannshof station
    Hartmannshof station is a local railway stop in the village of Hartmannshof in Bavaria, Germany, serving regional passenger services on the Nuremberg–Neumarkt–Regensburg line.
  • E. Appenweier station
    Appenweier station is a regional railway station in Appenweier, Germany, serving as a local transport hub connecting the town to the wider rail network.
  • 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18294c4c8819083ef85d9cb736613 completed April 29, 2026, 4:01 a.m.
Created at: April 17, 2026, 3:49 p.m.