Triple

T247777
Position Surface form Disambiguated ID Type / Status
Subject F E5075 entity
Predicate hasReutersTicker P1447 FINISHED
Object F.N E5075 NE FINISHED

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: F.N | Statement: [F, hasReutersTicker, F.N]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: F.N
Context triple: [F, hasReutersTicker, F.N]
  • A.
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • B. F chosen
    F is the New York Stock Exchange ticker symbol for Ford Motor Company, the American multinational automaker known for mass-producing automobiles and pioneering assembly line manufacturing.
  • C. FA
    FA is a Chilean left-wing political coalition known for uniting various progressive parties and movements to challenge the country’s traditional political blocs.
  • D. Fay
    Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
  • E. Flo
    Flo was one of Jane Goodall’s most famous Gombe chimpanzees, known as a highly influential matriarch whose life and family were central to long-term studies of chimpanzee behavior and social structure.
  • 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: hasReutersTicker
Context triple: [F, hasReutersTicker, F.N]
  • A. tickerSymbol chosen
    Indicates the association between a financial instrument or company and its unique abbreviated code used for trading on a securities exchange.
  • B. USAnnouncer
    Indicates that an entity serves as an announcer whose affiliation, origin, or role is specifically associated with the United States.
  • C. sharesSymbol
    Indicates that two entities use or are associated with the same identifying symbol (such as a ticker, code, or notation).
  • D. tradedOn
    Indicates that an asset, security, or instrument is bought and sold on a particular exchange or trading venue.
  • E. hasStockExchange
    Indicates that an entity is associated with or listed on a particular stock exchange.
  • F. None of above.

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_69a257c4bf688190a46ebbf411ab7473 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25d154ebc819087a5c9dc4f62ff44 completed Feb. 28, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a36cf64798819096218d320b00a3a9 completed Feb. 28, 2026, 10:32 p.m.
PD Predicate disambiguation batch_69a25b64ea3081908de626a0e1445bdb completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 2:54 a.m.