Triple

T34173918
Position Surface form Disambiguated ID Type / Status
Subject Guyenne E876614 entity
Predicate endOfEnglishRule P162801 FINISHED
Object 1453 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: 1453 | Statement: [Guyenne, endOfEnglishRule, 1453]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: endOfEnglishRule
Context triple: [Guyenne, endOfEnglishRule, 1453]
  • A. endRule
    Indicates that a previously active rule, regulation, or governing condition is terminated or ceases to apply.
  • B. typicalEndRule
    Indicates the rule or condition that normally determines how or when a process, event, or relationship comes to an end.
  • C. outcomeForEnglish chosen
    Indicates the result, consequence, or status specifically associated with something in the context of English (e.g., English language, subject, or setting).
  • D. endOf
    Indicates that one entity marks the terminating point or final boundary of another entity, event, or interval.
  • E. reasonForEndOfRule
    Indicates the cause, circumstance, or event that led to the termination or conclusion of a particular rule or period of rule.
  • 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_69f349ad97ac8190bf1f17417c970e64 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f7234bcaa48190ac970759d34e254a completed May 3, 2026, 10:28 a.m.
PD Predicate disambiguation batch_69f72155c48881909bd40b9aa3febd5a completed May 3, 2026, 10:20 a.m.
Created at: May 1, 2026, 1:54 a.m.