Triple

T8892083
Position Surface form Disambiguated ID Type / Status
Subject Kemble railway station E211703 entity
Predicate hasStationCode P1289 FINISHED
Object KEM
KEM is the National Rail station code for Kemble railway station in Gloucestershire, England.
 E765046 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: KEM | Statement: [Kemble railway station, hasStationCode, KEM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KEM
Context triple: [Kemble railway station, hasStationCode, KEM]
  • A. KEM
    KEM is the IATA airport code for Kemi-Tornio Airport in northern Finland.
  • B. KAM
    KAM is the standard abbreviation for the Kamloops Blazers, a major junior ice hockey team in the Western Hockey League based in Kamloops, British Columbia.
  • C. Kes
    Kes is a 1969 British drama film directed by Ken Loach, widely acclaimed for its realistic portrayal of a working-class boy in Northern England who finds solace in training a kestrel.
  • D. Kes
    Kes is an Ocampa crew member on Star Trek: Voyager, known for her short lifespan, strong empathic and telepathic abilities, and close relationships with Neelix and the Doctor.
  • E. KGM
    KGM is the Turkish General Directorate of Highways, the national authority responsible for planning, constructing, and maintaining Turkey’s road 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: KEM
Triple: [Kemble railway station, hasStationCode, KEM]
Generated description
KEM is the National Rail station code for Kemble railway station in Gloucestershire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KEM
Target entity description: KEM is the National Rail station code for Kemble railway station in Gloucestershire, England.
  • A. KEM
    KEM is the IATA airport code for Kemi-Tornio Airport in northern Finland.
  • B. KAM
    KAM is the standard abbreviation for the Kamloops Blazers, a major junior ice hockey team in the Western Hockey League based in Kamloops, British Columbia.
  • C. Kes
    Kes is a 1969 British drama film directed by Ken Loach, widely acclaimed for its realistic portrayal of a working-class boy in Northern England who finds solace in training a kestrel.
  • D. Kes
    Kes is an Ocampa crew member on Star Trek: Voyager, known for her short lifespan, strong empathic and telepathic abilities, and close relationships with Neelix and the Doctor.
  • E. KGM
    KGM is the Turkish General Directorate of Highways, the national authority responsible for planning, constructing, and maintaining Turkey’s road 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_69ca83907954819096d52a245b635841 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61ba33c48190a657fc4147a326c0 completed April 1, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfabf795b08190bb4c45d6ede3b8b4 completed April 3, 2026, noon
NEDg Description generation batch_69cfad1782848190ae3d9f6f53803adc completed April 3, 2026, 12:05 p.m.
NED2 Entity disambiguation (via description) batch_69cfadf4c1fc81908df957dc0a6308dc completed April 3, 2026, 12:09 p.m.
Created at: March 30, 2026, 6:54 p.m.