Triple

T17289499
Position Surface form Disambiguated ID Type / Status
Subject Ligue Nationale de Rugby E419746 entity
Predicate shortName P43 FINISHED
Object LNR
LNR is the governing body responsible for organizing and managing professional rugby union leagues in France, including the Top 14 and Pro D2 competitions.
 E1260167 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: LNR | Statement: [Ligue Nationale de Rugby, shortName, LNR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LNR
Context triple: [Ligue Nationale de Rugby, shortName, LNR]
  • A. LN1
    LN1 is the first French high-speed rail line (LGV Sud-Est), connecting Paris to Lyon and pioneering the TGV network.
  • B. LNL
    LNL is the Indian Railways station code for Lonavala railway station, a key stop on the Mumbai–Pune route in Maharashtra, India.
  • C. LNC
    LNC is the stock ticker symbol for Lincoln Financial Group, a major U.S.-based provider of insurance and financial services.
  • D. LNC
    LNC is the FAA location identifier for Lancaster Regional Airport in Lancaster, Texas, United States.
  • E. LNC
    LNC is a multi-purpose arena in Norman, Oklahoma, best known as the longtime home of the University of Oklahoma Sooners basketball teams and major events.
  • 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: LNR
Triple: [Ligue Nationale de Rugby, shortName, LNR]
Generated description
LNR is the governing body responsible for organizing and managing professional rugby union leagues in France, including the Top 14 and Pro D2 competitions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LNR
Target entity description: LNR is the governing body responsible for organizing and managing professional rugby union leagues in France, including the Top 14 and Pro D2 competitions.
  • A. LN1
    LN1 is the first French high-speed rail line (LGV Sud-Est), connecting Paris to Lyon and pioneering the TGV network.
  • B. LNL
    LNL is the Indian Railways station code for Lonavala railway station, a key stop on the Mumbai–Pune route in Maharashtra, India.
  • C. LNC
    LNC is the stock ticker symbol for Lincoln Financial Group, a major U.S.-based provider of insurance and financial services.
  • D. LNC
    LNC is a multi-purpose arena in Norman, Oklahoma, best known as the longtime home of the University of Oklahoma Sooners basketball teams and major events.
  • E. LNC
    LNC is the FAA location identifier for Lancaster Regional Airport in Lancaster, Texas, United States.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e43782b7ac8190b702567e9ccf9a35 completed April 19, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a017957c738819087341bcd51b55114 completed May 11, 2026, 6:38 a.m.
NEDg Description generation batch_6a0179f16af481909f409adb5367f021 completed May 11, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_6a017ad8480881909ca9a9982585b08d completed May 11, 2026, 6:44 a.m.
Created at: April 10, 2026, 5:40 a.m.