Triple

T2014097
Position Surface form Disambiguated ID Type / Status
Subject Royal Pioneer Corps E43754 entity
Predicate receivedRoyalPrefix P8257 FINISHED
Object 1946 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: 1946 | Statement: [Royal Pioneer Corps, receivedRoyalPrefix, 1946]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: receivedRoyalPrefix
Context triple: [Royal Pioneer Corps, receivedRoyalPrefix, 1946]
  • A. monarchGrantingRoyalPrefix chosen
    Indicates that a monarch has officially authorized the use of a royal prefix (such as "Royal") for a person, organization, title, or entity.
  • B. honorificPrefix
    Indicates the formal title or respectful prefix (e.g., "Dr.", "Mr.", "Prof.") used before a person's name to denote status, role, or honor.
  • C. honorificRank
    Indicates that one entity holds a formal title or honorific status in relation to another entity.
  • D. previousHonorificPrefix
    Indicates that one entity was formerly used as an honorific prefix or title for another entity before being changed or replaced.
  • E. receivedTitle
    Indicates that an entity has been formally granted or awarded a specific title or honor.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8b42d508190bf2b63132bb2ad77 completed March 7, 2026, 5:33 a.m.
PD Predicate disambiguation batch_69abb7a03a1c81909ad50d56667db2d5 completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:37 p.m.