Triple

T2987032
Position Surface form Disambiguated ID Type / Status
Subject Landskrona BoIS E80649 entity
Predicate basedIn P40 FINISHED
Object Landskrona E173673 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: Landskrona | Statement: [Landskrona BoIS, basedIn, Landskrona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landskrona
Context triple: [Landskrona BoIS, basedIn, Landskrona]
  • A. Landskrona chosen
    Landskrona is a coastal town in southern Sweden known for its historic fortifications, harbor, and role in regional conflicts between Denmark and Sweden.
  • B. Landskrona BoIS
    Landskrona BoIS is a Swedish football club based in Landskrona, known for competing in the country’s professional league system and developing both domestic and international players.
  • C. Norrköping
    Norrköping is a historic industrial city in eastern Sweden known for its preserved textile mills, waterways, and cultural institutions.
  • D. Nyköping
    Nyköping is a historic coastal town in southeastern Sweden known for its medieval castle, harbor, and role as a regional administrative and cultural center.
  • E. Halmstad
    Halmstad is a coastal city in southwestern Sweden known for its historic town center, harbor, and role as a strategic site in Scandinavian conflicts.
  • 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_69ad8b16c3488190b47b6aa7a59a335b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99c88f608190bf734e0b744bf3d1 completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108fb46b08190bcbd00e69cf06047 completed March 11, 2026, 6:17 a.m.
Created at: March 8, 2026, 2:59 p.m.