Triple

T20033731
Position Surface form Disambiguated ID Type / Status
Subject Pennsylvania proprietors E497203 entity
Predicate reformDemand P94743 FINISHED
Object conversion of Pennsylvania to royal colony 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: conversion of Pennsylvania to royal colony | Statement: [Pennsylvania proprietors, reformDemand, conversion of Pennsylvania to royal colony]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reformDemand
Context triple: [Pennsylvania proprietors, reformDemand, conversion of Pennsylvania to royal colony]
  • A. demandedReformFrom chosen
    Indicates that one party insisted that another party implement or agree to specific changes or reforms.
  • B. reform
    Indicates bringing about significant changes to an existing system, practice, or entity in order to improve or correct it.
  • C. advocatedReformOf
    Indicates that one entity publicly supported or promoted changes to another entity, typically aiming to improve or modify its structure, policies, or practices.
  • D. reformsBy
    Indicates that one entity initiates, implements, or is responsible for changes or improvements (reforms) affecting another entity.
  • E. requestedReform
    Indicates that one entity has asked another entity to implement or consider a specific reform or change to an existing system, policy, or practice.
  • 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662e6a7e481908069c1de2b3f94e0 completed April 20, 2026, 5:31 p.m.
PD Predicate disambiguation batch_69e54ce752748190a0a1ffddd0372271 completed April 19, 2026, 9:45 p.m.
Created at: April 11, 2026, 3:36 p.m.