Triple

T12938373
Position Surface form Disambiguated ID Type / Status
Subject LNB Pro A E309573 entity
Predicate shortName P43 FINISHED
Object Pro A
Pro A is the top-tier professional basketball league in Latvia, organized under the Latvian National Basketball League (LNB).
 E1011155 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: Pro A | Statement: [LNB Pro A, shortName, Pro A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pro A
Context triple: [LNB Pro A, shortName, Pro A]
  • A. ProA
    ProA is the second-highest professional basketball league in Germany, sitting just below the Basketball Bundesliga in the national league system.
  • B. PRO
    PRO is the Professional Referee Organization that manages and develops professional soccer match officials in the United States and Canada.
  • C. PROF
    PROF is the standard abbreviation for the Division of Professional Relations, an organizational unit focused on issues affecting professional practice and workplace relations.
  • D. Ap
    Ap is the commonly used abbreviation for the Norwegian Labour Party, a major social-democratic political party in Norway.
  • E. Pro D2
    Pro D2 is the second-highest level of professional rugby union league in France, sitting just below the Top 14.
  • 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: Pro A
Triple: [LNB Pro A, shortName, Pro A]
Generated description
Pro A is the top-tier professional basketball league in Latvia, organized under the Latvian National Basketball League (LNB).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pro A
Target entity description: Pro A is the top-tier professional basketball league in Latvia, organized under the Latvian National Basketball League (LNB).
  • A. ProA
    ProA is the second-highest professional basketball league in Germany, sitting just below the Basketball Bundesliga in the national league system.
  • B. PRO
    PRO is the Professional Referee Organization that manages and develops professional soccer match officials in the United States and Canada.
  • C. PROF
    PROF is the standard abbreviation for the Division of Professional Relations, an organizational unit focused on issues affecting professional practice and workplace relations.
  • D. Ap
    Ap is the commonly used abbreviation for the Norwegian Labour Party, a major social-democratic political party in Norway.
  • E. Pro D2
    Pro D2 is the second-highest level of professional rugby union league in France, sitting just below the Top 14.
  • 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97dc8c0848190946e109ec98e4479 completed April 10, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af6ef89881908ec3138b9f4a8b1a completed May 3, 2026, 2:14 a.m.
NEDg Description generation batch_69f6b0660b188190a67bfff73b882d92 completed May 3, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69f6b1aa191081908266128776a2147a completed May 3, 2026, 2:23 a.m.
Created at: April 9, 2026, 5:43 p.m.