Triple

T7060870
Position Surface form Disambiguated ID Type / Status
Subject Amsterdam Metro line 52 E164211 entity
Predicate via P5680 FINISHED
Object Station Noord E617840 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: Station Noord | Statement: [Amsterdam Metro line 52, via, Station Noord]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Station Noord
Context triple: [Amsterdam Metro line 52, via, Station Noord]
  • A. Lees station
    Lees station is a light-rail transit stop on Ottawa’s Confederation Line serving the Lees Avenue area near the University of Ottawa.
  • B. Stellingen station
    Stellingen station is a railway and S-Bahn station in Hamburg, Germany, serving as a key access point for visitors traveling to events at the nearby Volksparkstadion.
  • C. Station Lelylaan
    Station Lelylaan is a transport hub in Amsterdam that serves as an interchange between trains, trams, buses, and the metro in the city’s western area.
  • D. Noord bus station chosen
    Noord bus station is a major public transport hub in the northern part of Amsterdam, serving as a key interchange point for city buses and connections to the metro network.
  • E. Kampen station
    Kampen station is a railway station in the city of Kampen in the Netherlands, serving as a local stop on the regional rail network.
  • 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_69c688796c148190adb2f1596f595f22 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e459de348190912cd5326fb8bee0 completed March 27, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7944b4a60819089e565cb895c432f completed March 28, 2026, 8:41 a.m.
Created at: March 27, 2026, 2:38 p.m.