Triple

T834090
Position Surface form Disambiguated ID Type / Status
Subject Hötorget E18031 entity
Predicate adjacentTo P224 FINISHED
Object Sergels torg E77999 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: Sergels torg | Statement: [Hötorget, adjacentTo, Sergels torg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sergels torg
Context triple: [Hötorget, adjacentTo, Sergels torg]
  • A. Sergels torg chosen
    Sergels torg is a central public square and major meeting point in downtown Stockholm, known for its modernist design and iconic glass obelisk.
  • B. Hötorget
    Hötorget is a central square in downtown Stockholm known for its market stalls, surrounding shops, and cultural venues.
  • C. Kungsgatan
    Kungsgatan is a major central street in Stockholm, Sweden, known for its early 20th-century architecture, bustling shops, and iconic twin towers.
  • D. Manger Square
    Manger Square is the central plaza in Bethlehem, renowned as a major Christian pilgrimage site adjacent to the Church of the Nativity, traditionally believed to mark the birthplace of Jesus.
  • E. Old Town, Stockholm
    Old Town, Stockholm is the historic medieval center of Sweden’s capital, known for its cobblestone streets, colorful buildings, and major institutions like the Swedish Academy and the Royal Palace.
  • 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_69a49389f44881909a608fb27d89f247 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abb84fe081909b8f4b4202845860 completed March 1, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7929458648190a88390a1a3207ad0 completed March 4, 2026, 2:01 a.m.
Created at: March 1, 2026, 7:38 p.m.