Triple

T33195671
Position Surface form Disambiguated ID Type / Status
Subject Worshipful Company of World Traders E849749 entity
Predicate typeOfMembershipOrganisation P99297 FINISHED
Object City livery company LITERAL 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: City livery company | Statement: [Worshipful Company of World Traders, typeOfMembershipOrganisation, City livery company]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfMembershipOrganisation
Context triple: [Worshipful Company of World Traders, typeOfMembershipOrganisation, City livery company]
  • A. organizationType
    Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
  • B. collectiveOrganizationType chosen
    Indicates the specific kind or category of collective organization that an entity belongs to or is classified as.
  • C. containsOrganizationType
    Indicates that an entity includes or is associated with an organization of a specified organizational type (e.g., company, nonprofit, government agency).
  • D. organizationTypeOfOwner
    Indicates the type or category of organization that owns a given entity.
  • E. clubMembershipType
    Indicates the specific category or level of membership that an entity holds within a club.
  • F. None of above.

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_69f3495efedc8190843a5728089544b9 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_6a00a22e32f481909b6006c5b1cdefd3 completed May 10, 2026, 3:20 p.m.
PD Predicate disambiguation batch_6a00a1bd9c908190b4aa17a61f48126f completed May 10, 2026, 3:18 p.m.
Created at: May 1, 2026, 1:29 a.m.