Triple

T17131969
Position Surface form Disambiguated ID Type / Status
Subject Finstock railway station E415740 entity
Predicate hasStationCode P1289 FINISHED
Object FSK
FSK is the National Rail station code assigned to Finstock railway station in Oxfordshire, England.
E1252953 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: FSK | Statement: [Finstock railway station, hasStationCode, FSK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FSK
Context triple: [Finstock railway station, hasStationCode, FSK]
  • A. FKS
    FKS is the common abbreviation for FK Sarajevo, a professional football club based in Sarajevo, Bosnia and Herzegovina.
  • B. FFK
    FFK is the football association responsible for organizing and overseeing the national football activities and competitions in Curaçao.
  • C. FFK
    FFK is a Norwegian football club based in Fredrikstad, known for its rich history and multiple national titles.
  • D. FPK
    FPK is the National Rail station code for Finsbury Park railway station in north London.
  • E. FKST
    FKST (Falkland Islands Summer Time) is the daylight saving time observed in the Falkland Islands, typically set one hour ahead of their standard time.
  • 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: FSK
Triple: [Finstock railway station, hasStationCode, FSK]
Generated description
FSK is the National Rail station code assigned to Finstock railway station in Oxfordshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FSK
Target entity description: FSK is the National Rail station code assigned to Finstock railway station in Oxfordshire, England.
  • A. FKS
    FKS is the common abbreviation for FK Sarajevo, a professional football club based in Sarajevo, Bosnia and Herzegovina.
  • B. FFK
    FFK is the football association responsible for organizing and overseeing the national football activities and competitions in Curaçao.
  • C. FFK
    FFK is a Norwegian football club based in Fredrikstad, known for its rich history and multiple national titles.
  • D. FPK
    FPK is the National Rail station code for Finsbury Park railway station in north London.
  • E. FKST
    FKST (Falkland Islands Summer Time) is the daylight saving time observed in the Falkland Islands, typically set one hour ahead of their standard time.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f02a9fbc81909d820d29417aa55c completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01414eca3c8190aeec22fab3b5e767 completed May 11, 2026, 2:39 a.m.
NEDg Description generation batch_6a01423a771881908c2eaff14e335ee2 completed May 11, 2026, 2:43 a.m.
NED2 Entity disambiguation (via description) batch_6a01430b7e008190bc3366cc89564409 completed May 11, 2026, 2:46 a.m.
Created at: April 10, 2026, 5:36 a.m.