Triple

T17148043
Position Surface form Disambiguated ID Type / Status
Subject NET E416145 entity
Predicate replaced P101 FINISHED
Object Ratings Percentage Index E87693 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: Ratings Percentage Index | Statement: [NET, replaced, Ratings Percentage Index]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ratings Percentage Index
Context triple: [NET, replaced, Ratings Percentage Index]
  • A. Ratings Percentage Index chosen
    The Ratings Percentage Index is a statistical ranking system used in U.S. college sports to evaluate and compare teams based on their wins, losses, and strength of schedule.
  • B. Immediacy Index
    The Immediacy Index is a bibliometric indicator that measures how quickly articles in a scholarly journal are cited within the same year they are published.
  • C. Effie Index
    The Effie Index is a global ranking system that identifies and celebrates the world’s most effective marketing and advertising companies, brands, and agencies based on Effie Awards performance.
  • D. RPI
    RPI is a private research university in Troy, New York, known for its strong engineering, science, and technology programs.
  • E. RPI
    RPI is a statistical measure used primarily in U.S. college sports to rank teams based on their wins, losses, and strength of schedule.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f404f0e88190b7ac9ac523fdc7da completed April 18, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01415b1d7c81908d000b0362042687 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:36 a.m.