Triple

T5296968
Position Surface form Disambiguated ID Type / Status
Subject Real Salt Lake E119878 entity
Predicate nickname P55 FINISHED
Object RSL E510070 NE FINISHED

How this triple was built (2 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: [Real Salt Lake, nickname, RSL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RSL
Context triple: [Real Salt Lake, nickname, RSL]
  • 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 chosen
    RSL is the commonly used abbreviation for Real Salt Lake, a professional Major League Soccer club based in Utah.
  • E. RAS
    RAS is the commonly used abbreviation for the Royal Astronomical Society, a leading learned society dedicated to the advancement of astronomy and geophysics.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd446f22b88190b6a47fb91c68a3e7 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8503cf908190b1f93fb10a33c49c completed March 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf1880bec88190a5b1ca453c783444 completed March 21, 2026, 10:15 p.m.
Created at: March 20, 2026, 1:53 p.m.