Triple

T4381876
Position Surface form Disambiguated ID Type / Status
Subject International Association for Cryptologic Research E99148 entity
Predicate organizesConference P123 FINISHED
Object PKC
PKC is a leading international cryptography conference focused on public-key cryptography research and advancements.
 E434696 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: PKC | Statement: [International Association for Cryptologic Research, organizesConference, PKC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PKC
Context triple: [International Association for Cryptologic Research, organizesConference, PKC]
  • A. PK
    PK is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Pakistan in international standards and systems.
  • B. PKX
    PKX is the IATA airport code for Beijing Daxing International Airport, a major international aviation hub serving Beijing, China.
  • C. PGK
    PGK is the three-letter international currency code for the Papua New Guinean kina, the official currency of Papua New Guinea.
  • D. KP
    KP is the commonly used abbreviation for Khyber Pakhtunkhwa, a province in northwestern Pakistan known for its mountainous terrain and diverse ethnic communities.
  • E. KP
    KP is the post-nominal abbreviation used by knights of the Order of Saint Patrick, a British order of chivalry associated with Ireland.
  • 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: PKC
Triple: [International Association for Cryptologic Research, organizesConference, PKC]
Generated description
PKC is a leading international cryptography conference focused on public-key cryptography research and advancements.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PKC
Target entity description: PKC is a leading international cryptography conference focused on public-key cryptography research and advancements.
  • A. PK
    PK is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Pakistan in international standards and systems.
  • B. PKX
    PKX is the IATA airport code for Beijing Daxing International Airport, a major international aviation hub serving Beijing, China.
  • C. PGK
    PGK is the three-letter international currency code for the Papua New Guinean kina, the official currency of Papua New Guinea.
  • D. KP
    KP is the commonly used abbreviation for Khyber Pakhtunkhwa, a province in northwestern Pakistan known for its mountainous terrain and diverse ethnic communities.
  • E. KP
    KP is the post-nominal abbreviation used by knights of the Order of Saint Patrick, a British order of chivalry associated with Ireland.
  • 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_69b3454ea8f48190a49c2436624d6ef6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352613dd481909e008a8db239a108 completed March 12, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e51ff9188190aa4581d451feaafd completed March 14, 2026, 10:45 p.m.
NEDg Description generation batch_69b5e5c1cf2c8190b397f249090e7ce6 completed March 14, 2026, 10:48 p.m.
NED2 Entity disambiguation (via description) batch_69b5e61acb988190a6f4d7b2bffb2953 completed March 14, 2026, 10:50 p.m.
Created at: March 12, 2026, 11:18 p.m.