Triple

T21132390
Position Surface form Disambiguated ID Type / Status
Subject Kettering railway station E520720 entity
Predicate hasStationCode P1289 FINISHED
Object KET
KET is the National Rail station code for Kettering railway station in Northamptonshire, England.
 E1468337 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: KET | Statement: [Kettering railway station, hasStationCode, KET]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KET
Context triple: [Kettering railway station, hasStationCode, KET]
  • A. KEAT
    KEAT is the ICAO airport code for Pangborn Memorial Airport, a public airport serving the Wenatchee area in Washington State, USA.
  • B. KE
    KE is the IATA airline designator for Korean Air, the flag carrier and largest airline of South Korea.
  • C. KE
    KE is the standard abbreviation for "Kommounistiki Epitheorisi," the theoretical and political journal associated with the Communist Party of Greece.
  • D. KE
    KE is the two-letter ISO 3166-1 alpha-2 country code assigned to Kenya for international identification and data standards.
  • E. Ket’
    Ket’ is an alternative name for the Ket River, a waterway in Siberia that serves as a tributary of the Ob River in Russia.
  • 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: KET
Triple: [Kettering railway station, hasStationCode, KET]
Generated description
KET is the National Rail station code for Kettering railway station in Northamptonshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KET
Target entity description: KET is the National Rail station code for Kettering railway station in Northamptonshire, England.
  • A. KEAT
    KEAT is the ICAO airport code for Pangborn Memorial Airport, a public airport serving the Wenatchee area in Washington State, USA.
  • B. KE
    KE is the IATA airline designator for Korean Air, the flag carrier and largest airline of South Korea.
  • C. KE
    KE is the standard abbreviation for "Kommounistiki Epitheorisi," the theoretical and political journal associated with the Communist Party of Greece.
  • D. KE
    KE is the two-letter ISO 3166-1 alpha-2 country code assigned to Kenya for international identification and data standards.
  • E. Ket’
    Ket’ is an alternative name for the Ket River, a waterway in Siberia that serves as a tributary of the Ob River in Russia.
  • 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e723574b1481909fe9bebc83f1f3ce completed April 21, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0965f1fb2c8190b66ee5e64cc98aa4 completed May 17, 2026, 6:53 a.m.
NEDg Description generation batch_6a0966f894d48190b6841c35a9aab417 completed May 17, 2026, 6:58 a.m.
NED2 Entity disambiguation (via description) batch_6a096adfd4248190a26c513278e7b334 completed May 17, 2026, 7:14 a.m.
Created at: April 16, 2026, 2:56 p.m.