Triple

T7487537
Position Surface form Disambiguated ID Type / Status
Subject Princess of Wales's Royal Regiment E176919 entity
Predicate abbreviation P43 FINISHED
Object PWRR
PWRR is a line infantry regiment of the British Army, known as the Princess of Wales's Royal Regiment.
 E667678 NE FINISHED

How this triple was built (4 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: PWRR | Statement: [Princess of Wales's Royal Regiment, abbreviation, PWRR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PWRR
Context triple: [Princess of Wales's Royal Regiment, abbreviation, PWRR]
  • A. PWR
    PWR is a global interfaith organization that convenes leaders and followers of diverse religious and spiritual traditions to promote dialogue, understanding, and cooperation for peace and justice.
  • B. PWr
    PWr is the commonly used abbreviation for Wrocław University of Science and Technology, a major technical university in Wrocław, Poland.
  • C. PW
    PW is the commonly used abbreviation for the Warsaw University of Technology, one of Poland’s leading technical universities.
  • D. PW
    PW is the commonly used nickname of P. W. Botha, the former South African prime minister and state president during the apartheid era.
  • E. PW
    PW is the ISO 3166-1 alpha-2 country code for the Pacific island nation of Palau.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: PWRR
Triple: [Princess of Wales's Royal Regiment, abbreviation, PWRR]
Generated description
PWRR is a line infantry regiment of the British Army, known as the Princess of Wales's Royal Regiment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PWRR
Target entity description: PWRR is a line infantry regiment of the British Army, known as the Princess of Wales's Royal Regiment.
  • A. PWR
    PWR is a global interfaith organization that convenes leaders and followers of diverse religious and spiritual traditions to promote dialogue, understanding, and cooperation for peace and justice.
  • B. PWr
    PWr is the commonly used abbreviation for Wrocław University of Science and Technology, a major technical university in Wrocław, Poland.
  • C. PW
    PW is the commonly used nickname of P. W. Botha, the former South African prime minister and state president during the apartheid era.
  • D. PW
    PW is the commonly used abbreviation for the Warsaw University of Technology, one of Poland’s leading technical universities.
  • E. PW
    PW is the ISO 3166-1 alpha-2 country code for the Pacific island nation of Palau.
  • F. None of above. chosen

Provenance (5 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_69c69f24ac508190bb98fe927c0bd065 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5582adc81908b68439762965d88 completed March 27, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c6d7dc08190b5d030e3eff9b108 completed March 28, 2026, 8:39 p.m.
NEDg Description generation batch_69c83d7100f081909e69801db3628c30 completed March 28, 2026, 8:43 p.m.
NED2 Entity disambiguation (via description) batch_69c83dc9102881908e17512d3a14990a completed March 28, 2026, 8:44 p.m.
Created at: March 27, 2026, 3:43 p.m.