Triple

T2987038
Position Surface form Disambiguated ID Type / Status
Subject Landskrona BoIS E80649 entity
Predicate shortName P43 FINISHED
Object BoIS
BoIS is the commonly used short name for Landskrona BoIS, a Swedish football club based in Landskrona.
 E315558 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: BoIS | Statement: [Landskrona BoIS, shortName, BoIS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BoIS
Context triple: [Landskrona BoIS, shortName, BoIS]
  • A. BOI
    BOI is the central bank of Israel, responsible for managing the country’s monetary policy, issuing currency, and maintaining financial stability.
  • B. Bo
    Bo is the widely known nickname of legendary American college football coach Bo Schembechler, famed for his long tenure at the University of Michigan.
  • C. Bo
    Bo was an extinct indigenous language of the Great Andamanese people, once spoken in the Andaman Islands of India.
  • D. Bo
    Bo was the Portuguese Water Dog who served as one of the Obama family's beloved First Pets during Barack Obama's presidency.
  • E. BO
    BO is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Bolivia in international standards and systems.
  • 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: BoIS
Triple: [Landskrona BoIS, shortName, BoIS]
Generated description
BoIS is the commonly used short name for Landskrona BoIS, a Swedish football club based in Landskrona.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BoIS
Target entity description: BoIS is the commonly used short name for Landskrona BoIS, a Swedish football club based in Landskrona.
  • A. BOI
    BOI is the central bank of Israel, responsible for managing the country’s monetary policy, issuing currency, and maintaining financial stability.
  • B. Bo
    Bo is the widely known nickname of legendary American college football coach Bo Schembechler, famed for his long tenure at the University of Michigan.
  • C. Bo
    Bo was an extinct indigenous language of the Great Andamanese people, once spoken in the Andaman Islands of India.
  • D. Bo
    Bo was the Portuguese Water Dog who served as one of the Obama family's beloved First Pets during Barack Obama's presidency.
  • E. BO
    BO is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Bolivia in international standards and systems.
  • 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_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.
NEDg Description generation batch_69b1098429f0819086767078b9687674 completed March 11, 2026, 6:19 a.m.
NED2 Entity disambiguation (via description) batch_69b109ea926481909c85a9aa28027d41 completed March 11, 2026, 6:21 a.m.
Created at: March 8, 2026, 2:59 p.m.