Triple

T34500194
Position Surface form Disambiguated ID Type / Status
Subject Dorincourt Castle E885728 entity
Predicate usedAsSettingForEvent P15599 FINISHED
Object Cedric Errol’s introduction to English nobility 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: Cedric Errol’s introduction to English nobility | Statement: [Dorincourt Castle, usedAsSettingForEvent, Cedric Errol’s introduction to English nobility]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedAsSettingForEvent
Context triple: [Dorincourt Castle, usedAsSettingForEvent, Cedric Errol’s introduction to English nobility]
  • A. usedAsSettingFor chosen
    Indicates that one entity serves as the backdrop, location, or environment in which another entity (such as an event, story, or activity) takes place.
  • B. usedAfterEventFor
    Indicates that one entity is used only after a specified event has occurred or been completed.
  • C. knownAsSettingFor
    Indicates that something is recognized or regarded as the typical or notable setting or backdrop for something else.
  • D. associatedWithSetting
    Indicates that one entity is connected or linked to a particular context, environment, or setting in which it occurs or is relevant.
  • E. eventUse
    Indicates that an event involves the use or utilization of a particular entity (e.g., a resource, tool, or method) as part of its occurrence.
  • 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_69f349cc0220819081f154c6964f4dc2 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fe59d11e9881909d2f33b7c717030e completed May 8, 2026, 9:46 p.m.
PD Predicate disambiguation batch_69fe394fdfbc8190a931926ae3635cbf completed May 8, 2026, 7:28 p.m.
Created at: May 1, 2026, 2:01 a.m.