Triple

T1477953
Position Surface form Disambiguated ID Type / Status
Subject Scanian War E30885 entity
Predicate mainTheatre P5783 FINISHED
Object Scania E138516 NE FINISHED

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: Scania | Statement: [Scanian War, mainTheatre, Scania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scania
Context triple: [Scanian War, mainTheatre, Scania]
  • A. Scania chosen
    Scania is a historical province in southern Sweden known for its fertile farmland, coastal landscapes, and former status as part of Denmark.
  • B. Scania
    Scania is a Swedish manufacturer renowned for its heavy trucks, buses, and industrial and marine engines.
  • C. Volvo Group
    Volvo Group is a Swedish multinational manufacturing company best known for producing trucks, buses, construction equipment, and marine and industrial engines.
  • D. Volvo Cars
    Volvo Cars is a Swedish automotive manufacturer known for its focus on safety, practical design, and premium vehicles.
  • E. Saab Kockums
    Saab Kockums is a Swedish shipyard and defense company best known for designing and building advanced submarines and naval vessels.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainTheatre
Context triple: [Scanian War, mainTheatre, Scania]
  • A. primaryTheater chosen
    Indicates that a particular location or region is the main setting or principal area where an event, activity, or operation takes place.
  • B. theater
    Indicates that an entity is a theater or is functioning in the role of a theater (a venue where performances or films are shown).
  • C. theatricalFunction
    Indicates the role or purpose something serves within a theatrical context, such as its function in staging, performance, or dramatic presentation.
  • D. theaterCommander
    Indicates that an entity serves as the commanding authority over military operations within a specific theater or area of operations.
  • E. theaterWork
    Indicates a relationship where an entity is a theatrical work (such as a play or stage production) associated with another entity, typically as its subject, creator, or context.
  • F. None of above.

Provenance (4 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c605d4c0819088ab06678b2ba6f3 completed March 1, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad15add78c8190843efd75bbe8423f completed March 8, 2026, 6:22 a.m.
PD Predicate disambiguation batch_69a4c484e52c81908948ff8c0a42751b completed March 1, 2026, 10:58 p.m.
Created at: March 1, 2026, 8:11 p.m.