Triple

T15501330
Position Surface form Disambiguated ID Type / Status
Subject Stadion E378959 entity
Predicate connectedTo P37 FINISHED
Object Tekniska högskolan station E379942 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: Tekniska högskolan station | Statement: [Stadion, connectedTo, Tekniska högskolan station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tekniska högskolan station
Context triple: [Stadion, connectedTo, Tekniska högskolan station]
  • A. Tekniska högskolan metro station chosen
    Tekniska högskolan metro station is a Stockholm metro station on the red line, known for its science-themed art and its role serving the Royal Institute of Technology (KTH) area.
  • B. Stäket station
    Stäket station is a local railway stop serving the Stäket area within Järfälla Municipality in the Stockholm region of Sweden.
  • C. Märsta Station
    Märsta Station is a key suburban railway hub in the town of Märsta, serving as a northern terminus and important node in the Stockholm commuter rail network.
  • D. Hyllie station
    Hyllie station is a major railway and transport hub in Malmö, Sweden, serving regional and international trains as well as local transit connections.
  • E. Upsal station
    Upsal station is a SEPTA Regional Rail stop in the Mount Airy neighborhood of Philadelphia, Pennsylvania, serving passengers on the Chestnut Hill West Line.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcb4e8c81908e4ab463e3ae252b completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3669f908819087162b1b8a4e4320 completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:54 a.m.