Triple

T4996750
Position Surface form Disambiguated ID Type / Status
Subject King's Lynn railway station E112265 entity
Predicate stationCode P1289 FINISHED
Object KLN
KLN is the National Rail station code for King's Lynn railway station in Norfolk, England.
 E484529 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: KLN | Statement: [King's Lynn railway station, stationCode, KLN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KLN
Context triple: [King's Lynn railway station, stationCode, KLN]
  • A. KLE
    KLE is the vehicle registration code for the district of Cleves (Kleve) in the German state of North Rhine-Westphalia.
  • B. KL
    KL is the two-letter IATA airline code assigned to KLM Royal Dutch Airlines.
  • C. KL
    KL is the abbreviation commonly used for the Royal Netherlands Army, the land forces branch of the Dutch Armed Forces.
  • D. KL
    KL is the official vehicle registration code assigned to the Indian state of Kerala.
  • E. KLu
    KLu is the commonly used abbreviation for the Royal Netherlands Air Force, the aerial warfare branch of the Dutch armed forces.
  • 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: KLN
Triple: [King's Lynn railway station, stationCode, KLN]
Generated description
KLN is the National Rail station code for King's Lynn railway station in Norfolk, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KLN
Target entity description: KLN is the National Rail station code for King's Lynn railway station in Norfolk, England.
  • A. KLE
    KLE is the vehicle registration code for the district of Cleves (Kleve) in the German state of North Rhine-Westphalia.
  • B. KL
    KL is the two-letter IATA airline code assigned to KLM Royal Dutch Airlines.
  • C. KL
    KL is the abbreviation commonly used for the Royal Netherlands Army, the land forces branch of the Dutch Armed Forces.
  • D. KL
    KL is the official vehicle registration code assigned to the Indian state of Kerala.
  • E. KLu
    KLu is the commonly used abbreviation for the Royal Netherlands Air Force, the aerial warfare branch of the Dutch armed forces.
  • 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_69bd4432b32c81909f3b3c6bd10f0653 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd72a130708190b9bc1393ba78bfb1 completed March 20, 2026, 4:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a3489f08190a338de8d8be09813 completed March 21, 2026, 12:08 p.m.
NEDg Description generation batch_69be8ac1336c8190a3b6f5b83543dfcf completed March 21, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69be8b57411c819082fe711485fe2821 completed March 21, 2026, 12:13 p.m.
Created at: March 20, 2026, 1:34 p.m.