Triple

T4688747
Position Surface form Disambiguated ID Type / Status
Subject Stockholm Arlanda Airport E103982 entity
Predicate locatedNear P294 FINISHED
Object Märsta E141523 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: Märsta | Statement: [Stockholm Arlanda Airport, locatedNear, Märsta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Märsta
Context triple: [Stockholm Arlanda Airport, locatedNear, Märsta]
  • A. Märsta chosen
    Märsta is a town in Stockholm County, Sweden, known as a residential and transport hub near Stockholm Arlanda Airport.
  • B. Vårsta
    Vårsta is a small locality in eastern Sweden, situated within Botkyrka Municipality in Stockholm County.
  • C. Bällsta
    Bällsta is a small locality in eastern central Sweden situated within Vallentuna Municipality in Stockholm County.
  • D. Thamserku
    Thamserku is a prominent Himalayan peak in eastern Nepal, known for its steep, dramatic profile and popularity among experienced mountaineers.
  • E. Storvreten
    Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
  • 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_69bd43df91f481908e9add1b617b60ef completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6399621881909aa8ffb1c27284e9 completed March 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03b75e3481908aa27eeaeec490ca completed March 21, 2026, 2:34 a.m.
Created at: March 20, 2026, 1:16 p.m.