Triple

T3155796
Position Surface form Disambiguated ID Type / Status
Subject Fédération Française de Rugby E65982 entity
Predicate organizesCompetition P527 FINISHED
Object Pro D2
Pro D2 is the second-highest level of professional rugby union league in France, sitting just below the Top 14.
 E331930 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 D2 | Statement: [Fédération Française de Rugby, organizesCompetition, Pro D2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pro D2
Context triple: [Fédération Française de Rugby, organizesCompetition, Pro D2]
  • A. D-2
    D-2 was a 1993 German-led Spacelab space shuttle mission focused on microgravity and life sciences research in low Earth orbit.
  • B. D2
    D2 is a line of the Moscow Central Diameters suburban rail system, providing cross-city commuter rail service through Moscow and its surrounding areas.
  • C. D6
    D6 is the commonly used abbreviation for District 6, a designated administrative or electoral subdivision within a larger governmental or organizational structure.
  • D. D-1
    D-1 was a pioneering early Spacelab mission that helped demonstrate and validate the European-built laboratory’s capabilities for conducting scientific research in space aboard the Space Shuttle.
  • E. D4
    D4 is a commuter rail line within Moscow’s Moscow Central Diameters network, connecting suburban areas with the city through frequent, urban-style train service.
  • 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 D2
Triple: [Fédération Française de Rugby, organizesCompetition, Pro D2]
Generated description
Pro D2 is the second-highest level of professional rugby union league in France, sitting just below the Top 14.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pro D2
Target entity description: Pro D2 is the second-highest level of professional rugby union league in France, sitting just below the Top 14.
  • A. D-2
    D-2 was a 1993 German-led Spacelab space shuttle mission focused on microgravity and life sciences research in low Earth orbit.
  • B. D2
    D2 is a line of the Moscow Central Diameters suburban rail system, providing cross-city commuter rail service through Moscow and its surrounding areas.
  • C. D6
    D6 is the commonly used abbreviation for District 6, a designated administrative or electoral subdivision within a larger governmental or organizational structure.
  • D. D-1
    D-1 was a pioneering early Spacelab mission that helped demonstrate and validate the European-built laboratory’s capabilities for conducting scientific research in space aboard the Space Shuttle.
  • E. D4
    D4 is a commuter rail line within Moscow’s Moscow Central Diameters network, connecting suburban areas with the city through frequent, urban-style train service.
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5e97548819084643586fff2e3cb completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b225068444819080e2b8b6b1260613 completed March 12, 2026, 2:29 a.m.
NEDg Description generation batch_69b22574e7c881908e9645f0869d95a8 completed March 12, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69b225f0e0b0819096f8b5f7e7ddd8c3 completed March 12, 2026, 2:33 a.m.
Created at: March 8, 2026, 3:05 p.m.