Triple

T15041119
Position Surface form Disambiguated ID Type / Status
Subject Stockholm City Museum E378600 entity
Predicate nearbyTransport P5822 FINISHED
Object Slussen bus terminal E382658 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: Slussen bus terminal | Statement: [Stockholm City Museum, nearbyTransport, Slussen bus terminal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slussen bus terminal
Context triple: [Stockholm City Museum, nearbyTransport, Slussen bus terminal]
  • A. Slussen metro station chosen
    Slussen metro station is a major Stockholm Metro interchange and transport hub located between the Old Town and the Södermalm district of Stockholm, Sweden.
  • B. Lysaker bus terminal
    Lysaker bus terminal is a public transport hub in Lysaker, Norway, serving as a key interchange point for regional and local bus services.
  • C. Oslo Bus Terminal
    Oslo Bus Terminal is the main long-distance and regional bus hub in Oslo, Norway, connecting the city with domestic and international destinations.
  • D. Hallunda bus terminal
    Hallunda bus terminal is a public transport hub in the Hallunda area of Botkyrka, Sweden, serving as an interchange point for local and regional bus services.
  • E. Kolsås station
    Kolsås station is a metro terminus on the Kolsås Line of the Oslo Metro system in Bærum, Norway.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82e79a481908ddb9609af8c4407 completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9de388508190bb0ecc04740cbe15 completed May 9, 2026, 2:37 a.m.
Created at: April 10, 2026, 3 a.m.