Triple

T19822697
Position Surface form Disambiguated ID Type / Status
Subject Huvudsta Strand E476235 entity
Predicate nearbyPlace P2064 FINISHED
Object Huvudsta metro 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: Huvudsta metro station | Statement: [Huvudsta Strand, nearbyPlace, Huvudsta metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huvudsta metro station
Context triple: [Huvudsta Strand, nearbyPlace, Huvudsta metro station]
  • A. Huvudsta metro station chosen
    Huvudsta metro station is a Stockholm Metro station on the blue line serving the Huvudsta district in Solna, Sweden.
  • B. Kista metro station
    Kista metro station is an underground station on Stockholm’s metro system serving the Kista district, a major hub for technology and business.
  • C. Stockholm University metro station
    Stockholm University metro station is a Stockholm Metro stop on the red line serving the university campus and surrounding areas in northeastern Stockholm.
  • D. Skanstull metro station
    Skanstull metro station is a Stockholm Metro station on Södermalm that serves as a key stop on the city’s Green Line.
  • E. T-Centralen metro station
    T-Centralen metro station is Stockholm’s central and busiest metro hub, known for its blue-themed art and for connecting all three of the city’s metro lines.
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654ffb37c8190be540a793befe16c completed April 20, 2026, 4:31 p.m.
Created at: April 10, 2026, 1:50 p.m.