Triple

T2800632
Position Surface form Disambiguated ID Type / Status
Subject wedding of Prince Harry and Meghan Markle E53143 entity
Predicate carriageProcessionRoute P33979 FINISHED
Object through Windsor town centre 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: through Windsor town centre | Statement: [wedding of Prince Harry and Meghan Markle, carriageProcessionRoute, through Windsor town centre]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: carriageProcessionRoute
Context triple: [wedding of Prince Harry and Meghan Markle, carriageProcessionRoute, through Windsor town centre]
  • A. ceremonialProcession
    Indicates a formal, often ritualized movement of people or objects in an organized sequence as part of a ceremony or official event.
  • B. ceremonialRoute chosen
    Indicates a route that is specifically used or designated for ceremonial, ritual, or formal processional purposes.
  • C. roadTraverses
    Indicates that a road passes through, crosses, or extends across a specified geographic area or feature.
  • D. pilgrimageRouteTo
    Indicates a route or path that is traditionally used or designated for making a religious or spiritual pilgrimage to a particular destination.
  • E. carriedInFrontOf
    Indicates that one entity is transported or held while positioned ahead of another entity along the direction of movement or orientation.
  • 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abde2ec2ac8190bd702ad3eafb6aed completed March 7, 2026, 8:13 a.m.
PD Predicate disambiguation batch_69abdd059f308190853191f6ffe2bc6f completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 9:58 p.m.