Triple

T19939774
Position Surface form Disambiguated ID Type / Status
Subject Ropsten E479276 entity
Predicate hasStructure P35 FINISHED
Object Ropsten 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: Ropsten metro station | Statement: [Ropsten, hasStructure, Ropsten metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ropsten metro station
Context triple: [Ropsten, hasStructure, Ropsten metro station]
  • A. Ropsten metro station chosen
    Ropsten metro station is a Stockholm metro station on the red line that serves the northeastern district of Hjorthagen and connects to the Lidingöbanan light rail.
  • B. Rinkeby metro station
    Rinkeby metro station is an underground station on Stockholm’s metro system serving the Rinkeby district in the northwest of the city.
  • C. Blackeberg metro station
    Blackeberg metro station is a Stockholm Metro station on the Green line serving the Blackeberg district in western Stockholm, Sweden.
  • D. Storo metro station
    Storo metro station is a station on the Oslo Metro system in Norway, serving the Storo neighborhood as a key interchange and access point for local transit.
  • E. Karlaplan metro station
    Karlaplan metro station is an underground Stockholm Metro station on the red line, serving the Karlaplan square area in the Östermalm district of central Stockholm.
  • 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a19d77c819088bce99c94568d0d completed April 20, 2026, 4:53 p.m.
Created at: April 10, 2026, 1:53 p.m.