Triple

T19601183
Position Surface form Disambiguated ID Type / Status
Subject Kenton station E470478 entity
Predicate railcode P27071 FINISHED
Object KNT
KNT is the National Rail station code for Kenton railway station in northwest London, England.
 E1384444 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: KNT | Statement: [Kenton station, railcode, KNT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KNT
Context triple: [Kenton station, railcode, KNT]
  • A. KNT
    KNT is the vehicle registration code assigned to vehicles registered in the Czorsztyn area of Poland.
  • B. KTN
    KTN is the three-letter IATA airport code for Ketchikan International Airport in Ketchikan, Alaska.
  • C. KNTU
    KNTU is the ICAO airport code for Naval Air Station Oceana, a major United States Navy jet base located in Virginia Beach, Virginia.
  • D. KONT
    KONT is the ICAO airport code for Ontario International Airport, a major commercial airport serving the Inland Empire region of Southern California.
  • E. KNS
    KNS is the Polish vehicle registration code assigned to the Nowy Sącz area in the Lesser Poland Voivodeship.
  • 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: KNT
Triple: [Kenton station, railcode, KNT]
Generated description
KNT is the National Rail station code for Kenton railway station in northwest London, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KNT
Target entity description: KNT is the National Rail station code for Kenton railway station in northwest London, England.
  • A. KNT
    KNT is the vehicle registration code assigned to vehicles registered in the Czorsztyn area of Poland.
  • B. KTN
    KTN is the three-letter IATA airport code for Ketchikan International Airport in Ketchikan, Alaska.
  • C. KNTU
    KNTU is the ICAO airport code for Naval Air Station Oceana, a major United States Navy jet base located in Virginia Beach, Virginia.
  • D. KONT
    KONT is the ICAO airport code for Ontario International Airport, a major commercial airport serving the Inland Empire region of Southern California.
  • E. KNS
    KNS is the Polish vehicle registration code assigned to the Nowy Sącz area in the Lesser Poland Voivodeship.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6407f1fd88190aa82c4c96f755584 completed April 20, 2026, 3:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a075f1dc2f48190a66d0145b39f06a3 completed May 15, 2026, 5:59 p.m.
NEDg Description generation batch_6a075fbe27a081909c6869abfdfb6079 completed May 15, 2026, 6:02 p.m.
NED2 Entity disambiguation (via description) batch_6a07608dfcb481908833ecb65c10b96b completed May 15, 2026, 6:06 p.m.
Created at: April 10, 2026, 1:43 p.m.