Triple

T20070283
Position Surface form Disambiguated ID Type / Status
Subject Congleton railway station E499714 entity
Predicate stationCode P1289 FINISHED
Object CNG
CNG is the three-letter National Rail station code assigned to Congleton railway station in Cheshire, England.
 E1410038 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: CNG | Statement: [Congleton railway station, stationCode, CNG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CNG
Context triple: [Congleton railway station, stationCode, CNG]
  • A. LPG
    LPG (liquefied petroleum gas) is a widely used fuel composed mainly of propane and butane, commonly utilized for heating, cooking, and as an automotive and industrial energy source.
  • B. CNGGZ
    CNGGZ is the UN/LOCODE identifier for the Port of Guangzhou, one of China's largest and busiest seaports and a major hub for international trade.
  • C. GNV
    GNV is the stock ticker symbol for Genivar Inc., a Canadian engineering consulting firm that later became part of WSP Global.
  • D. Vasoline
    "Vasoline" is a 1994 grunge/alternative rock song by Stone Temple Pilots, known for its heavy riff, distinctive vocal effects, and prominent rotation on rock radio and MTV.
  • E. Gasolina
    "Gasolina" is a landmark reggaeton track by Daddy Yankee that helped popularize the genre worldwide in the early 2000s.
  • 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: CNG
Triple: [Congleton railway station, stationCode, CNG]
Generated description
CNG is the three-letter National Rail station code assigned to Congleton railway station in Cheshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CNG
Target entity description: CNG is the three-letter National Rail station code assigned to Congleton railway station in Cheshire, England.
  • A. LPG
    LPG (liquefied petroleum gas) is a widely used fuel composed mainly of propane and butane, commonly utilized for heating, cooking, and as an automotive and industrial energy source.
  • B. CNGGZ
    CNGGZ is the UN/LOCODE identifier for the Port of Guangzhou, one of China's largest and busiest seaports and a major hub for international trade.
  • C. GNV
    GNV is the stock ticker symbol for Genivar Inc., a Canadian engineering consulting firm that later became part of WSP Global.
  • D. Vasoline
    "Vasoline" is a 1994 grunge/alternative rock song by Stone Temple Pilots, known for its heavy riff, distinctive vocal effects, and prominent rotation on rock radio and MTV.
  • E. Gasolina
    "Gasolina" is a landmark reggaeton track by Daddy Yankee that helped popularize the genre worldwide in the early 2000s.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6643798a4819081fa4e71c74b47bc completed April 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a081f3d1ad48190b434568a0c0d60de completed May 16, 2026, 7:39 a.m.
NEDg Description generation batch_6a08203132d48190b3f1313dae3e6fc1 completed May 16, 2026, 7:43 a.m.
NED2 Entity disambiguation (via description) batch_6a0821390af08190a4aca33d33f0e71d completed May 16, 2026, 7:48 a.m.
Created at: April 11, 2026, 3:40 p.m.