Triple

T20710512
Position Surface form Disambiguated ID Type / Status
Subject Knaresborough railway station E509023 entity
Predicate hasStationCode P1289 FINISHED
Object KNA
KNA is the National Rail station code for Knaresborough railway station in North Yorkshire, England.
 E1446504 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: KNA | Statement: [Knaresborough railway station, hasStationCode, KNA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KNA
Context triple: [Knaresborough railway station, hasStationCode, KNA]
  • A. KNA
    KNA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Kitts and Nevis.
  • B. KNA
    KNA is the ICAO airline designator assigned to Kunming Airlines, a Chinese carrier based in Kunming, Yunnan.
  • C. LKNA
    LKNA is the ICAO airport code for Náměšť nad Oslavou Air Base, a military airfield in the Czech Republic.
  • D. KNO
    KNO is the IATA airport code for Kualanamu International Airport serving Medan and the surrounding region in North Sumatra, Indonesia.
  • E. KNI
    KNI is the three-letter station code used to identify Knightsbridge tube station on the London Underground network.
  • 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: KNA
Triple: [Knaresborough railway station, hasStationCode, KNA]
Generated description
KNA is the National Rail station code for Knaresborough railway station in North Yorkshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KNA
Target entity description: KNA is the National Rail station code for Knaresborough railway station in North Yorkshire, England.
  • A. KNA
    KNA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Kitts and Nevis.
  • B. KNA
    KNA is the ICAO airline designator assigned to Kunming Airlines, a Chinese carrier based in Kunming, Yunnan.
  • C. LKNA
    LKNA is the ICAO airport code for Náměšť nad Oslavou Air Base, a military airfield in the Czech Republic.
  • D. KNO
    KNO is the IATA airport code for Kualanamu International Airport serving Medan and the surrounding region in North Sumatra, Indonesia.
  • E. KNI
    KNI is the three-letter station code used to identify Knightsbridge tube station on the London Underground network.
  • 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_69e0b4c40ad88190b81f77695366d328 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1974ba08190b0e5ad529be95e4c completed April 21, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08e04d605c8190a00df9f7c303d314 completed May 16, 2026, 9:23 p.m.
NEDg Description generation batch_6a08e0d409d48190bca2fb8c60b8ce08 completed May 16, 2026, 9:25 p.m.
NED2 Entity disambiguation (via description) batch_6a08e164ef8c8190b482f2cc0f43acce completed May 16, 2026, 9:28 p.m.
Created at: April 16, 2026, 12:14 p.m.