Triple

T17394430
Position Surface form Disambiguated ID Type / Status
Subject PacMed Center E422913 entity
Predicate alsoKnownAs P39 FINISHED
Object PacMed 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: PacMed | Statement: [PacMed Center, alsoKnownAs, PacMed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PacMed
Context triple: [PacMed Center, alsoKnownAs, PacMed]
  • A. PacMed Center chosen
    PacMed Center is a historic former U.S. Public Health Service hospital in Seattle that now serves as a prominent medical and office complex overlooking the city.
  • B. PAC
    PAC is the stock ticker symbol for Grupo Aeroportuario del Pacífico, a major Mexican airport operator that manages multiple airports in the Pacific region.
  • C. PAC
    PAC is the commonly used abbreviation for the Pacific Division, a grouping of teams in various North American professional sports leagues.
  • D. PAC
    PAC is the IATA airport code for Albrook "Marcos A. Gelabert" International Airport serving Panama City, Panama.
  • E. PAC
    PAC is the abbreviated name of Jersey’s Public Accounts Committee, a legislative body that scrutinizes government spending and financial accountability.
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43abbd84881908af91bb7c9784026 completed April 19, 2026, 2:15 a.m.
Created at: April 10, 2026, 5:45 a.m.