Triple

T8965110
Position Surface form Disambiguated ID Type / Status
Subject Countess of Gloucester E214109 entity
Predicate historicalGovernmentContext P49184 FINISHED
Object feudal monarchy 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: feudal monarchy | Statement: [Countess of Gloucester, historicalGovernmentContext, feudal monarchy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalGovernmentContext
Context triple: [Countess of Gloucester, historicalGovernmentContext, feudal monarchy]
  • A. politicalSystemHistorical
    Indicates a relationship where a political system is characterized or analyzed in terms of its historical development, context, or evolution.
  • B. historicalRegime
    Indicates that one entity functioned as a governing regime or ruling authority over another entity during a specific historical period.
  • C. hasHistoricalGovernmentForm chosen
    Indicates that an entity has, at some point in the past, been governed under a particular form or system of government.
  • D. politicalHistory
    Indicates that there exists a historical political relationship, involvement, or background connecting the entities, such as past offices held, affiliations, or political events linking them.
  • E. historicalBackground
    Indicates that one entity provides contextual historical information or circumstances that help explain the origin, development, or significance of another entity.
  • 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_69ca839cd6008190a1546a701a56710c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc674c4be8819090d46aba8ab40af3 completed April 1, 2026, 12:31 a.m.
PD Predicate disambiguation batch_69cc5ed9a2d48190ad11381078e823b7 completed March 31, 2026, 11:55 p.m.
Created at: March 30, 2026, 7:01 p.m.