Triple

T871867
Position Surface form Disambiguated ID Type / Status
Subject King’s Royal Hussars E18830 entity
Predicate nickname P55 FINISHED
Object KRH
KRH is the commonly used abbreviation for the King’s Royal Hussars, a British Army cavalry regiment.
 E103118 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: KRH | Statement: [King’s Royal Hussars, nickname, KRH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KRH
Context triple: [King’s Royal Hussars, nickname, KRH]
  • A. KGH
    KGH is the National Rail station code for Kinghorn railway station in Fife, Scotland.
  • B. KHR
    KHR is the ISO 4217 currency code for the Cambodian riel, the official currency of Cambodia.
  • C. SK
    SK is the postcode area covering Stockport and surrounding parts of Greater Manchester and nearby counties in North West England.
  • D. KC
    KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
  • E. Kehrl
    Kehrl is a German surname most notably associated with Hans Kehrl, a Nazi-era economist and industrial official.
  • 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: KRH
Triple: [King’s Royal Hussars, nickname, KRH]
Generated description
KRH is the commonly used abbreviation for the King’s Royal Hussars, a British Army cavalry regiment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KRH
Target entity description: KRH is the commonly used abbreviation for the King’s Royal Hussars, a British Army cavalry regiment.
  • A. KGH
    KGH is the National Rail station code for Kinghorn railway station in Fife, Scotland.
  • B. KHR
    KHR is the ISO 4217 currency code for the Cambodian riel, the official currency of Cambodia.
  • C. SK
    SK is the postcode area covering Stockport and surrounding parts of Greater Manchester and nearby counties in North West England.
  • D. KC
    KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
  • E. Kehrl
    Kehrl is a German surname most notably associated with Hans Kehrl, a Nazi-era economist and industrial official.
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac96850881908a2d776685126137 completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b84fb2d0819084c256023bc23dc5 completed March 4, 2026, 4:42 a.m.
NEDg Description generation batch_69a7b985298c8190b465ce0589cd2c24 completed March 4, 2026, 4:48 a.m.
NED2 Entity disambiguation (via description) batch_69a7ba44b79c8190b0ce8a430fe928e5 completed March 4, 2026, 4:51 a.m.
Created at: March 1, 2026, 7:39 p.m.