Triple

T17109388
Position Surface form Disambiguated ID Type / Status
Subject Women’s Royal Naval Service E415184 entity
Predicate shortName P43 FINISHED
Object WRNS
WRNS is the acronym for the Women’s Royal Naval Service, the former women’s branch of the United Kingdom’s Royal Navy.
 E1250537 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: WRNS | Statement: [Women’s Royal Naval Service, shortName, WRNS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WRNS
Context triple: [Women’s Royal Naval Service, shortName, WRNS]
  • A. WRAN
    WRAN (Wireless Regional Area Network) is a broadband wireless networking standard designed to provide high-speed internet access over large rural and remote areas using unused TV broadcast spectrum.
  • B. WRS
    WRS is the station code for Warszawa Śródmieście, a central urban railway station in Warsaw, Poland.
  • C. WNR
    WNR is the National Rail station code for Windsor & Eton Riverside railway station in Berkshire, England.
  • D. RWR
    RWR is the abbreviation for the Royal Winnipeg Rifles, an infantry regiment of the Canadian Army Reserve based in Winnipeg, Manitoba.
  • E. WNS
    WNS is the IATA airport code for Shaheed Benazirabad Airport in Sindh, Pakistan.
  • 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: WRNS
Triple: [Women’s Royal Naval Service, shortName, WRNS]
Generated description
WRNS is the acronym for the Women’s Royal Naval Service, the former women’s branch of the United Kingdom’s Royal Navy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WRNS
Target entity description: WRNS is the acronym for the Women’s Royal Naval Service, the former women’s branch of the United Kingdom’s Royal Navy.
  • A. WRAN
    WRAN (Wireless Regional Area Network) is a broadband wireless networking standard designed to provide high-speed internet access over large rural and remote areas using unused TV broadcast spectrum.
  • B. WRS
    WRS is the station code for Warszawa Śródmieście, a central urban railway station in Warsaw, Poland.
  • C. WNR
    WNR is the National Rail station code for Windsor & Eton Riverside railway station in Berkshire, England.
  • D. RWR
    RWR is the abbreviation for the Royal Winnipeg Rifles, an infantry regiment of the Canadian Army Reserve based in Winnipeg, Manitoba.
  • E. WNS
    WNS is the IATA airport code for Shaheed Benazirabad Airport in Sindh, Pakistan.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc29c884819092a97d9663a1b1f7 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a03e2e48190a0b631dd8f6f8a24 completed May 11, 2026, 2:08 a.m.
NEDg Description generation batch_6a013ae388548190b09d2c81e1ab0d02 completed May 11, 2026, 2:11 a.m.
NED2 Entity disambiguation (via description) batch_6a013b4df74c81908b3b99e276531e13 completed May 11, 2026, 2:13 a.m.
Created at: April 10, 2026, 5:35 a.m.