Triple

T17446920
Position Surface form Disambiguated ID Type / Status
Subject KOF E424809 entity
Predicate hasTickerCountryCode P127487 FINISHED
Object US NE NERFINISHED

How this triple was built (3 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: US | Statement: [KOF, hasTickerCountryCode, US]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: US
Context triple: [KOF, hasTickerCountryCode, US]
  • A. US
    US is the IATA airline designator code assigned to the former American airline US Airways.
  • B. US
    The US, or United States, is a federal republic in North America comprising 50 states and known as one of the world's largest economic and military powers.
  • C. US
    The US, or United States, is a large federal republic in North America composed of 50 states and known as one of the world's most influential economic and political powers.
  • D. US chosen
    The US, or United States of America, is a large federal republic in North America composed of 50 states and known as one of the world's leading economic and military powers.
  • E. US
    US is the commonly used abbreviation for the University of Szczecin, a public higher education institution in Szczecin, Poland.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTickerCountryCode
Context triple: [KOF, hasTickerCountryCode, US]
  • A. underlyingTickerCountryCode
    Indicates the country code associated with the underlying ticker to which an instrument or contract is linked.
  • B. hasTickerType
    Indicates that an entity is associated with a specific type or category of ticker (e.g., stock, index, or other financial instrument ticker).
  • C. hasExchangeTicker
    Indicates that an entity is identified or listed under a specific ticker symbol on a particular financial exchange.
  • D. hasUnderlyingExchangeTicker
    Indicates that one financial instrument is based on, or derives its value from, another instrument identified by a specific exchange ticker.
  • E. hasTickerFormat
    Indicates that an entity’s ticker symbol follows a specified structural or syntactic format.
  • F. None of above. chosen

Provenance (4 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ffc89e4819096372cc55b40cc3b completed April 19, 2026, 3:46 a.m.
PD Predicate disambiguation batch_69e3b4f0e3fc819094e466b74622c956 completed April 18, 2026, 4:44 p.m.
PDg Predicate description generation batch_69e3bbb37d148190b7f38599c06594ee completed April 18, 2026, 5:13 p.m.
Created at: April 10, 2026, 5:47 a.m.