Triple

T11787153
Position Surface form Disambiguated ID Type / Status
Subject Kew Gardens station E280299 entity
Predicate railCode P18202 FINISHED
Object KWG
KWG is the National Rail station code for Kew Gardens railway station in London, England.
E946491 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: KWG | Statement: [Kew Gardens station, railCode, KWG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KWG
Context triple: [Kew Gardens station, railCode, KWG]
  • A. KWJ
    KWJ is the IATA airport code for Gwangju Airport, a regional airport serving the city of Gwangju in South Korea.
  • B. KMGW
    KMGW is the ICAO airport code for Morgantown Municipal Airport, a public airport serving Morgantown, West Virginia.
  • C. KBWG
    KBWG is the ICAO airport code for Bowling Green–Warren County Regional Airport in Bowling Green, Kentucky, United States.
  • D. KWSWK
    KWSWK is the UN/LOCODE identifier for the Port of Shuwaikh in Kuwait, used in international shipping and logistics.
  • E. KTW
    KTW is the IATA airport code for Katowice International Airport serving the Silesian region of southern Poland.
  • 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: KWG
Triple: [Kew Gardens station, railCode, KWG]
Generated description
KWG is the National Rail station code for Kew Gardens railway station in London, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KWG
Target entity description: KWG is the National Rail station code for Kew Gardens railway station in London, England.
  • A. KWJ
    KWJ is the IATA airport code for Gwangju Airport, a regional airport serving the city of Gwangju in South Korea.
  • B. KMGW
    KMGW is the ICAO airport code for Morgantown Municipal Airport, a public airport serving Morgantown, West Virginia.
  • C. KBWG
    KBWG is the ICAO airport code for Bowling Green–Warren County Regional Airport in Bowling Green, Kentucky, United States.
  • D. KWSWK
    KWSWK is the UN/LOCODE identifier for the Port of Shuwaikh in Kuwait, used in international shipping and logistics.
  • E. KTW
    KTW is the IATA airport code for Katowice International Airport serving the Silesian region of southern Poland.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a586803481909af0032c35ca6e51 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f090e8828481908baa7f6067190db3 completed April 28, 2026, 10:50 a.m.
NEDg Description generation batch_69f0bd3f39608190b29027b30664bd9c completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0ef5afd448190953b5d9929478132 completed April 28, 2026, 5:33 p.m.
Created at: April 8, 2026, 9:42 p.m.