Triple

T19410480
Position Surface form Disambiguated ID Type / Status
Subject Returned and Services League of Australia E485573 entity
Predicate shortName P43 FINISHED
Object RSL
RSL is a major Australian veterans’ and community service organization dedicated to supporting current and former military personnel and commemorating their service.
 E1374082 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: RSL | Statement: [Returned and Services League of Australia, shortName, RSL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RSL
Context triple: [Returned and Services League of Australia, shortName, RSL]
  • A. RSL
    RSL is the shading language used in Pixar's RenderMan system to define the appearance of surfaces, lights, and volumes in high-end computer graphics rendering.
  • B. RSL
    RSL is the commonly used abbreviation for the Royal Society of Literature, a prestigious UK organization dedicated to the advancement of literature.
  • C. RSL
    RSL is the commonly used abbreviation for Real Salt Lake, a professional Major League Soccer club based in Utah.
  • D. RSL
    RSL is the commonly used acronym for the Russian Superleague, a former top-tier professional ice hockey league in Russia.
  • E. RSL
    RSL is the ICAO airline designator assigned to Royal Air Philippines, a regional carrier based in the Philippines.
  • 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: RSL
Triple: [Returned and Services League of Australia, shortName, RSL]
Generated description
RSL is a major Australian veterans’ and community service organization dedicated to supporting current and former military personnel and commemorating their service.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RSL
Target entity description: RSL is a major Australian veterans’ and community service organization dedicated to supporting current and former military personnel and commemorating their service.
  • A. RSL
    RSL is the commonly used acronym for the Russian Superleague, a former top-tier professional ice hockey league in Russia.
  • B. RSL
    RSL is the shading language used in Pixar's RenderMan system to define the appearance of surfaces, lights, and volumes in high-end computer graphics rendering.
  • C. RSL
    RSL is the commonly used abbreviation for the Royal Society of Literature, a prestigious UK organization dedicated to the advancement of literature.
  • D. RSL
    RSL is the commonly used abbreviation for Real Salt Lake, a professional Major League Soccer club based in Utah.
  • E. RSL
    RSL is the ICAO airline designator assigned to Royal Air Philippines, a regional carrier based in the Philippines.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62af4cc0c81909056b5e2ee574ab1 completed April 20, 2026, 1:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a072b996ebc81908fe7c4ff930896ba completed May 15, 2026, 2:20 p.m.
NEDg Description generation batch_6a072eb2d5b08190a0cafb1427cfd16d completed May 15, 2026, 2:33 p.m.
NED2 Entity disambiguation (via description) batch_6a072f6caef48190acb52960ebde9ace completed May 15, 2026, 2:36 p.m.
Created at: April 10, 2026, 1:37 p.m.