Triple

T15231263
Position Surface form Disambiguated ID Type / Status
Subject LLOY E364006 entity
Predicate hasAlternativeTradingVenue P117660 FINISHED
Object BATS Europe E448130 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: BATS Europe | Statement: [LLOY, hasAlternativeTradingVenue, BATS Europe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BATS Europe
Context triple: [LLOY, hasAlternativeTradingVenue, BATS Europe]
  • A. BATS chosen
    BATS is a major U.S. equities exchange platform operated by Cboe Global Markets, known for its high-speed electronic trading and significant market share.
  • B. Batsi
    Batsi is a coastal village and popular tourist resort on the Greek island of Andros in the Cyclades.
  • C. Bäte
    Bäte is a German surname most notably borne by Oliver Bäte, the CEO of Allianz SE.
  • D. EBSA
    EBSA is a U.S. Department of Labor agency responsible for enforcing federal laws that regulate private-sector employee benefit plans, including retirement and health plans.
  • E. Arvato
    Arvato is a global business process outsourcing and services provider specializing in customer relationship management, supply chain management, and digital solutions.
  • 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: hasAlternativeTradingVenue
Context triple: [LLOY, hasAlternativeTradingVenue, BATS Europe]
  • A. hasTradingVenueCode
    Indicates that an entity is associated with a specific trading venue through its designated code.
  • B. hasTradingVenueType
    Indicates the specific category or type of trading venue associated with a given trading platform or marketplace.
  • C. hasElectronicTradingSystem
    Indicates that an entity operates or utilizes an electronic system for executing trades or transactions.
  • D. hasPostTradeTransparency
    Indicates that information about a trade is disclosed to the market after the trade has been executed.
  • E. hasStockExchange
    Indicates that an entity is associated with or listed on a particular stock exchange.
  • F. None of above. chosen

Provenance (5 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0078e27408190bc13c0ca441f5594 completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd3beae88190a91af2c9a7def8f8 completed May 9, 2026, 7:07 a.m.
PD Predicate disambiguation batch_69deca899d5c8190be4a7c71e1683c69 completed April 14, 2026, 11:15 p.m.
PDg Predicate description generation batch_69decf2ca6148190967c319728ec3661 completed April 14, 2026, 11:35 p.m.
Created at: April 10, 2026, 3:12 a.m.