Triple

T2609417
Position Surface form Disambiguated ID Type / Status
Subject Order of Saint Patrick E58737 entity
Predicate hasPostNominalLetters P1804 FINISHED
Object KP
KP is the post-nominal abbreviation used by knights of the Order of Saint Patrick, a British order of chivalry associated with Ireland.
 E282494 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: KP | Statement: [Order of Saint Patrick, hasPostNominalLetters, KP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KP
Context triple: [Order of Saint Patrick, hasPostNominalLetters, KP]
  • A. KP
    KP is the commonly used abbreviation for Khyber Pakhtunkhwa, a province in northwestern Pakistan known for its mountainous terrain and diverse ethnic communities.
  • B. PK
    PK is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Pakistan in international standards and systems.
  • C. 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.
  • D. KC
    KC is the vehicle registration code used on license plates for the district of Kronach in Upper Franconia, Germany.
  • E. KE
    KE is the IATA airline designator for Korean Air, the flag carrier and largest airline of South Korea.
  • 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: KP
Triple: [Order of Saint Patrick, hasPostNominalLetters, KP]
Generated description
KP is the post-nominal abbreviation used by knights of the Order of Saint Patrick, a British order of chivalry associated with Ireland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KP
Target entity description: KP is the post-nominal abbreviation used by knights of the Order of Saint Patrick, a British order of chivalry associated with Ireland.
  • A. KP
    KP is the commonly used abbreviation for Khyber Pakhtunkhwa, a province in northwestern Pakistan known for its mountainous terrain and diverse ethnic communities.
  • B. PK
    PK is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Pakistan in international standards and systems.
  • C. 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.
  • D. KC
    KC is the vehicle registration code used on license plates for the district of Kronach in Upper Franconia, Germany.
  • E. KE
    KE is the IATA airline designator for Korean Air, the flag carrier and largest airline of South Korea.
  • 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_69ab4ac3523881909679750c9f8c2dec completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd868acc481909444c99a621cdbec completed March 7, 2026, 7:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83e1efb88190b79c2c6ac0e87647 completed March 10, 2026, 2:37 a.m.
NEDg Description generation batch_69af84a15b5c8190bb68b6ff313adb6c completed March 10, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_69af85aa5f548190a4ce1a4ff38ca5e3 completed March 10, 2026, 2:44 a.m.
Created at: March 6, 2026, 9:49 p.m.