Triple

T17793752
Position Surface form Disambiguated ID Type / Status
Subject Karlskoga Municipality E444234 entity
Predicate contains P35 FINISHED
Object Bofors industrial area NE NERFINISHED

How this triple was built (3 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: Bofors industrial area | Statement: [Karlskoga Municipality, contains, Bofors industrial area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bofors industrial area
Context triple: [Karlskoga Municipality, contains, Bofors industrial area]
  • A. Borregaard industrial complex
    The Borregaard industrial complex is a major Norwegian biorefinery and chemical manufacturing site in Sarpsborg that produces advanced wood-based chemicals, materials, and biofuels.
  • B. Švermov industrial area
    Švermov industrial area is a major industrial zone in the city of Kladno in the Czech Republic, historically associated with heavy industry and manufacturing.
  • C. Sikka industrial area
    Sikka industrial area is a major industrial hub in Gujarat, India, known for its petroleum refineries and port-based industries along the Gulf of Kutch.
  • D. Altona industrial precinct
    Altona industrial precinct is a major industrial and manufacturing hub in Melbourne’s western suburbs, hosting a range of heavy industry, logistics, and warehousing facilities.
  • E. Muroran industrial zone
    Muroran industrial zone is a major coastal industrial area in Muroran, Hokkaido, known for its heavy industries such as steel, shipbuilding, and petrochemicals.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bofors industrial area
Target entity description: Bofors industrial area is a major Swedish industrial complex in Karlskoga known historically for arms manufacturing and heavy industry.
  • A. Borregaard industrial complex
    The Borregaard industrial complex is a major Norwegian biorefinery and chemical manufacturing site in Sarpsborg that produces advanced wood-based chemicals, materials, and biofuels.
  • B. Švermov industrial area
    Švermov industrial area is a major industrial zone in the city of Kladno in the Czech Republic, historically associated with heavy industry and manufacturing.
  • C. Sikka industrial area
    Sikka industrial area is a major industrial hub in Gujarat, India, known for its petroleum refineries and port-based industries along the Gulf of Kutch.
  • D. Altona industrial precinct
    Altona industrial precinct is a major industrial and manufacturing hub in Melbourne’s western suburbs, hosting a range of heavy industry, logistics, and warehousing facilities.
  • E. Muroran industrial zone
    Muroran industrial zone is a major coastal industrial area in Muroran, Hokkaido, known for its heavy industries such as steel, shipbuilding, and petrochemicals.
  • F. None of above. chosen

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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e487993a6c8190805e06d93dfc0dce completed April 19, 2026, 7:43 a.m.
Created at: April 10, 2026, 10:13 a.m.