Triple

T20628417
Position Surface form Disambiguated ID Type / Status
Subject The Royals E506881 entity
Predicate hasAbbreviation P43 FINISHED
Object RCR NE NERFINISHED

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: RCR | Statement: [The Royals, hasAbbreviation, RCR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RCR
Context triple: [The Royals, hasAbbreviation, RCR]
  • A. The RCR chosen
    The RCR is one of the Canadian Army’s oldest and most distinguished regular infantry regiments, known for its long history of service in major conflicts at home and abroad.
  • B. C.R.C.
    C.R.C. is an abbreviated name used to refer to Christian Rosenkreuz, the legendary founder of the Rosicrucian Order in Western esoteric tradition.
  • C. CCR
    CCR is the official compilation of administrative rules and regulations issued by California’s state agencies.
  • D. CCR
    CCR (Central Contractor Registration) was the former primary U.S. federal government vendor registration database that was consolidated into the SAM.gov system.
  • E. CCR
    CCR is a leading academic journal published by the ACM SIGCOMM community that focuses on research and developments in computer networking and communication systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4bd4a0081908d4e97a590a33fb2 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abe645888190b639ebedc5b3041a completed April 20, 2026, 10:42 p.m.
Created at: April 16, 2026, 11:42 a.m.