Triple

T8405249
Position Surface form Disambiguated ID Type / Status
Subject Kentish Town tube station E198479 entity
Predicate hasStationCode P1289 FINISHED
Object KTN
KTN is the three-letter station code used to identify Kentish Town tube station on the London Underground network.
 E515837 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: KTN | Statement: [Kentish Town tube station, hasStationCode, KTN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KTN
Context triple: [Kentish Town tube station, hasStationCode, KTN]
  • A. KTN
    KTN is the three-letter IATA airport code for Ketchikan International Airport in Ketchikan, Alaska.
  • B. KTW
    KTW is the IATA airport code for Katowice International Airport serving the Silesian region of southern Poland.
  • C. TKN
    TKN is the vehicle registration code assigned to vehicles registered in Końskie County in Poland.
  • D. KTT
    KTT is the London borough code used to identify the Royal Borough of Kingston upon Thames.
  • E. KTT
    KTT is a Polish vehicle registration code assigned to the Tatra County (powiat tatrzański) region 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: KTN
Triple: [Kentish Town tube station, hasStationCode, KTN]
Generated description
KTN is the three-letter station code used to identify Kentish Town tube station on the London Underground network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KTN
Target entity description: KTN is the three-letter station code used to identify Kentish Town tube station on the London Underground network.
  • A. KTN chosen
    KTN is the three-letter IATA airport code for Ketchikan International Airport in Ketchikan, Alaska.
  • B. KTW
    KTW is the IATA airport code for Katowice International Airport serving the Silesian region of southern Poland.
  • C. TKN
    TKN is the vehicle registration code assigned to vehicles registered in Końskie County in Poland.
  • D. KTT
    KTT is the London borough code used to identify the Royal Borough of Kingston upon Thames.
  • E. KTT
    KTT is a Polish vehicle registration code assigned to the Tatra County (powiat tatrzański) region in the Lesser Poland Voivodeship.
  • F. None of above.

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_69ca8310df9c8190b25f16161cca3e41 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb83116bf48190894bd5d5465520ef completed March 31, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce02f8596c8190a61b6f1ffd5a609c completed April 2, 2026, 5:47 a.m.
NEDg Description generation batch_69ce077f25648190b9a95fb72f5b4f8c completed April 2, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69ce08e192088190ad8170b1bedd568d completed April 2, 2026, 6:12 a.m.
Created at: March 30, 2026, 6:05 p.m.