Triple

T18408516
Position Surface form Disambiguated ID Type / Status
Subject Sankey for Penketh railway station E441690 entity
Predicate hasStationCode P1289 FINISHED
Object SNK
SNK is the National Rail station code assigned to Sankey for Penketh railway station in Cheshire, England.
 E1323027 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: SNK | Statement: [Sankey for Penketh railway station, hasStationCode, SNK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SNK
Context triple: [Sankey for Penketh railway station, hasStationCode, SNK]
  • A. SNK
    SNK is a Japanese video game company best known for its arcade and home console systems and fighting game franchises such as The King of Fighters, Samurai Shodown, and Metal Slug.
  • B. CAPCOM
    CAPCOM is the designated NASA Mission Control communicator responsible for direct voice contact with astronauts during space missions.
  • C. Konami
    Konami is a major Japanese entertainment company best known for developing and publishing popular video game franchises such as Metal Gear, Castlevania, and Silent Hill.
  • D. Toie
    Toie is a given name, often used as a short or informal form of the name Toie Roberts.
  • E. Capcom
    Capcom is a Japanese video game developer and publisher best known for creating major franchises such as Resident Evil, Street Fighter, and Monster Hunter.
  • 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: SNK
Triple: [Sankey for Penketh railway station, hasStationCode, SNK]
Generated description
SNK is the National Rail station code assigned to Sankey for Penketh railway station in Cheshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SNK
Target entity description: SNK is the National Rail station code assigned to Sankey for Penketh railway station in Cheshire, England.
  • A. SNK
    SNK is a Japanese video game company best known for its arcade and home console systems and fighting game franchises such as The King of Fighters, Samurai Shodown, and Metal Slug.
  • B. CAPCOM
    CAPCOM is the designated NASA Mission Control communicator responsible for direct voice contact with astronauts during space missions.
  • C. Konami
    Konami is a major Japanese entertainment company best known for developing and publishing popular video game franchises such as Metal Gear, Castlevania, and Silent Hill.
  • D. Toie
    Toie is a given name, often used as a short or informal form of the name Toie Roberts.
  • E. Capcom
    Capcom is a Japanese video game developer and publisher best known for creating major franchises such as Resident Evil, Street Fighter, and Monster Hunter.
  • 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e5195a49e08190b31f1767239bbe28 completed April 19, 2026, 6:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03e24a0bb081909d7a2646df18524e completed May 13, 2026, 2:30 a.m.
NEDg Description generation batch_6a03e6803ee88190a07b10eaf27141d0 completed May 13, 2026, 2:48 a.m.
NED2 Entity disambiguation (via description) batch_6a03e77369148190b30a9ec943bdaed0 completed May 13, 2026, 2:52 a.m.
Created at: April 10, 2026, 10:46 a.m.