Triple

T9096781
Position Surface form Disambiguated ID Type / Status
Subject Halmstad E218044 entity
Predicate hasLandmark P105 FINISHED
Object Stora Torg
Stora Torg is the main central square of Halmstad, Sweden, serving as a focal point for commerce, events, and public life in the city.
E777902 NE FINISHED

How this triple was built (4 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: Stora Torg | Statement: [Halmstad, hasLandmark, Stora Torg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stora Torg
Context triple: [Halmstad, hasLandmark, Stora Torg]
  • A. Stortorget
    Stortorget is the historic main square of Stockholm’s Old Town, known for its colorful facades, medieval origins, and role as a central site of markets and public events.
  • B. Stortorvet
    Stortorvet is a central public square in downtown Oslo, Norway, known as a busy transport hub and commercial meeting place.
  • C. Hötorget
    Hötorget is a central square in downtown Stockholm known for its market stalls, surrounding shops, and cultural venues.
  • D. Youngstorget
    Youngstorget is a central public square in Oslo, Norway, known as a historic hub for political rallies, labor movement events, and urban social life.
  • E. Sergels torg
    Sergels torg is a central public square and major meeting point in downtown Stockholm, known for its modernist design and iconic glass obelisk.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Stora Torg
Triple: [Halmstad, hasLandmark, Stora Torg]
Generated description
Stora Torg is the main central square of Halmstad, Sweden, serving as a focal point for commerce, events, and public life in the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Stora Torg
Target entity description: Stora Torg is the main central square of Halmstad, Sweden, serving as a focal point for commerce, events, and public life in the city.
  • A. Stortorget
    Stortorget is the historic main square of Stockholm’s Old Town, known for its colorful facades, medieval origins, and role as a central site of markets and public events.
  • B. Stortorvet
    Stortorvet is a central public square in downtown Oslo, Norway, known as a busy transport hub and commercial meeting place.
  • C. Hötorget
    Hötorget is a central square in downtown Stockholm known for its market stalls, surrounding shops, and cultural venues.
  • D. Youngstorget
    Youngstorget is a central public square in Oslo, Norway, known as a historic hub for political rallies, labor movement events, and urban social life.
  • E. Sergels torg
    Sergels torg is a central public square and major meeting point in downtown Stockholm, known for its modernist design and iconic glass obelisk.
  • F. None of above. chosen

Provenance (5 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc96b7d0d48190a3b15f35bef087e3 completed April 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0181a9ae88190ab80d4e80e919f42 completed April 3, 2026, 7:42 p.m.
NEDg Description generation batch_69d019652fe8819096cccb8cff431261 completed April 3, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69d01a290de881909482b7eb70bef0e3 completed April 3, 2026, 7:51 p.m.
Created at: March 30, 2026, 7:15 p.m.