Triple

T16768684
Position Surface form Disambiguated ID Type / Status
Subject Royal Maundy service E407533 entity
Predicate redPurseTraditionallyContains P124565 FINISHED
Object money in lieu of food and clothing 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: money in lieu of food and clothing | Statement: [Royal Maundy service, redPurseTraditionallyContains, money in lieu of food and clothing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: redPurseTraditionallyContains
Context triple: [Royal Maundy service, redPurseTraditionallyContains, money in lieu of food and clothing]
  • A. purse
    Indicates attempting to influence or persuade someone to adopt a particular course of action, belief, or decision.
  • B. currencyOfPurse
    Indicates the type of currency that is contained in or associated with a given purse.
  • C. approximatePurse
    Indicates that one entity estimates or comes close to determining the value, amount, or contents of another entity’s purse or collection of resources.
  • D. purseRecord
    Indicates a record or log entry that captures the state, contents, or transactions associated with a purse or similar container of funds.
  • E. currencyOfPurseScale
    Indicates the type or unit of currency used to measure or express the value or contents of a purse at a given scale.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b0349bc88190938750f1e5af192a completed April 18, 2026, 4:24 p.m.
PD Predicate disambiguation batch_69e319cbd79c8190a03587a61c18bec0 completed April 18, 2026, 5:42 a.m.
PDg Predicate description generation batch_69e326bac94481908c082117553320f8 completed April 18, 2026, 6:37 a.m.
Created at: April 10, 2026, 5:21 a.m.