Triple

T4319131
Position Surface form Disambiguated ID Type / Status
Subject The Tankies E96466 entity
Predicate hasAbbreviation P43 FINISHED
Object RTR E366335 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: RTR | Statement: [The Tankies, hasAbbreviation, RTR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RTR
Context triple: [The Tankies, hasAbbreviation, RTR]
  • A. RTR chosen
    RTR is the commonly used nickname for the Recruit Training Regiment, a military unit responsible for initial training of new recruits.
  • B. TRR
    TRR is the IATA airport code for Trincomalee Airport in Sri Lanka.
  • C. TRTS
    TRTS is the commonly used abbreviation for the Taipei Metro rapid transit system serving the Taipei metropolitan area in Taiwan.
  • D. RTA
    RTA is Dubai’s Roads and Transport Authority, the government agency responsible for planning and operating the emirate’s public transportation and road systems.
  • E. RTA
    RTA is the common abbreviation for the Regional Transportation Authority of Northeastern Illinois, the agency that oversees public transit services in the Chicago metropolitan area.
  • 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_69b345422aac81909ddbadae437d122e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35112ec008190958487f501481887 completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d089ab5c8190ba1691f8ce9b7b4f completed March 14, 2026, 9:18 p.m.
Created at: March 12, 2026, 11:12 p.m.