Triple

T23341547
Position Surface form Disambiguated ID Type / Status
Subject Undirected connectivity in log-space E591745 entity
Predicate relatedConcept P37 FINISHED
Object RL
RL is a complexity class in theoretical computer science consisting of decision problems solvable by randomized algorithms using logarithmic space with one-sided error.
E1581895 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: RL | Statement: [Undirected connectivity in log-space, relatedConcept, RL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RL
Context triple: [Undirected connectivity in log-space, relatedConcept, RL]
  • A. RL
    RL is an American R&B singer best known as a member of the group Next and for his smooth vocal contributions to late-1990s and early-2000s R&B hits.
  • B. RL
    RL is a popular shorthand for Rocket League, the high-paced video game that combines soccer-style gameplay with rocket-powered cars.
  • C. RL
    RL is the vehicle registration code used for the town of Rochlitz in Germany.
  • D. RL
    RL is the model designation for Acura’s former flagship luxury sedan, known for its advanced technology and comfort features.
  • E. RL
    RL is the abbreviation for Rijksuniversiteit Limburg, a former Dutch university in Maastricht that later became part of Maastricht University.
  • 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: RL
Triple: [Undirected connectivity in log-space, relatedConcept, RL]
Generated description
RL is a complexity class in theoretical computer science consisting of decision problems solvable by randomized algorithms using logarithmic space with one-sided error.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RL
Target entity description: RL is a complexity class in theoretical computer science consisting of decision problems solvable by randomized algorithms using logarithmic space with one-sided error.
  • A. RL
    RL is a popular shorthand for Rocket League, the high-paced video game that combines soccer-style gameplay with rocket-powered cars.
  • B. RL
    RL is an American R&B singer best known as a member of the group Next and for his smooth vocal contributions to late-1990s and early-2000s R&B hits.
  • C. RL
    RL is the commonly used acronym for the U.S. Department of Energy’s Richland Operations Office, which oversees environmental cleanup and related activities at the Hanford Site in Washington State.
  • D. RL
    RL is the model designation for Acura’s former flagship luxury sedan, known for its advanced technology and comfort features.
  • E. RL
    RL is the vehicle registration code used for the town of Rochlitz in Germany.
  • 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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f198334dec819081c432b434eb3ba5 completed April 29, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c4cb61d688190970ccb33d82c0fdd completed May 19, 2026, 11:42 a.m.
NEDg Description generation batch_6a0c4e915358819097b8c0b69b2a490f completed May 19, 2026, 11:50 a.m.
NED2 Entity disambiguation (via description) batch_6a0c52a1b82c81909c27a1cde973ae44 completed May 19, 2026, 12:08 p.m.
Created at: April 17, 2026, 5:18 p.m.