Triple

T12789708
Position Surface form Disambiguated ID Type / Status
Subject island of Saint Kitts E305724 entity
Predicate countryCode P208 FINISHED
Object KN
KN is the ISO 3166-1 alpha-2 country code for Saint Kitts and Nevis, a dual-island nation in the Caribbean.
 E1002770 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: KN | Statement: [island of Saint Kitts, countryCode, KN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KN
Context triple: [island of Saint Kitts, countryCode, KN]
  • A. KN
    KN is the IATA airline designator assigned to China United Airlines, a Chinese domestic carrier based in Beijing.
  • B. KN
    KN is the vehicle registration code used for cars registered in the town of Kolárovo in Slovakia.
  • C. KEN
    KEN is the official FIFA trigramme used to represent the Kenya national football team in international competitions and records.
  • D. NK
    NK is the vehicle registration code used on license plates for the Neunkirchen district in Germany.
  • E. NK
    NK is the station code for Nashik Road railway station, a major rail hub serving the city of Nashik in Maharashtra, India.
  • 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: KN
Triple: [island of Saint Kitts, countryCode, KN]
Generated description
KN is the ISO 3166-1 alpha-2 country code for Saint Kitts and Nevis, a dual-island nation in the Caribbean.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KN
Target entity description: KN is the ISO 3166-1 alpha-2 country code for Saint Kitts and Nevis, a dual-island nation in the Caribbean.
  • A. KN
    KN is the IATA airline designator assigned to China United Airlines, a Chinese domestic carrier based in Beijing.
  • B. KN
    KN is the vehicle registration code used for cars registered in the town of Kolárovo in Slovakia.
  • C. KEN
    KEN is the official FIFA trigramme used to represent the Kenya national football team in international competitions and records.
  • D. NK
    NK is the vehicle registration code used on license plates for the Neunkirchen district in Germany.
  • E. NK
    NK is the station code for Nashik Road railway station, a major rail hub serving the city of Nashik in Maharashtra, India.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e6a61f48190972e241e70bc392c completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68508e4488190bb57a1ade93987ab completed May 2, 2026, 11:13 p.m.
NEDg Description generation batch_69f687ae18c08190a94dca38bb69d10f completed May 2, 2026, 11:24 p.m.
NED2 Entity disambiguation (via description) batch_69f68884ed348190a1b2c89b1d655fa9 completed May 2, 2026, 11:28 p.m.
Created at: April 9, 2026, 5:30 p.m.