Triple

T8422861
Position Surface form Disambiguated ID Type / Status
Subject Bicester North railway station E198903 entity
Predicate hasStationCode P1289 FINISHED
Object BCS
BCS is the National Rail station code for Bicester North railway station in Oxfordshire, England.
E733115 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: BCS | Statement: [Bicester North railway station, hasStationCode, BCS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BCS
Context triple: [Bicester North railway station, hasStationCode, BCS]
  • A. BCS
    BCS is the abbreviation for the Bowl Championship Series, the former system used to determine matchups and the national champion in top-tier U.S. college football.
  • B. BCS
    BCS is the abbreviation for the Boundary Commission for Scotland, the independent body responsible for reviewing and recommending changes to parliamentary constituency boundaries in Scotland.
  • C. BCS
    BCS is the abbreviation for the Santiago Stock Exchange, the main securities exchange in Chile.
  • D. BCS
    BCS is the Chartered Institute for IT in the United Kingdom, serving as a professional body and learned society for computing and information technology practitioners.
  • E. BCS3
    BCS3 is the ICAO aircraft type designator used for the Airbus A220-300 regional jet airliner.
  • 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: BCS
Triple: [Bicester North railway station, hasStationCode, BCS]
Generated description
BCS is the National Rail station code for Bicester North railway station in Oxfordshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BCS
Target entity description: BCS is the National Rail station code for Bicester North railway station in Oxfordshire, England.
  • A. BCS
    BCS is the abbreviation for the Bowl Championship Series, the former system used to determine matchups and the national champion in top-tier U.S. college football.
  • B. BCS
    BCS is the abbreviation for the Santiago Stock Exchange, the main securities exchange in Chile.
  • C. BCS
    BCS is the abbreviation for the Boundary Commission for Scotland, the independent body responsible for reviewing and recommending changes to parliamentary constituency boundaries in Scotland.
  • D. BCS
    BCS is the Chartered Institute for IT in the United Kingdom, serving as a professional body and learned society for computing and information technology practitioners.
  • E. BCS3
    BCS3 is the ICAO aircraft type designator used for the Airbus A220-300 regional jet airliner.
  • 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_69ca8312d63c8190bf133b676b44a385 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb859f787481908a11797a317c8849 completed March 31, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce035279f48190861b97167fa3882c completed April 2, 2026, 5:49 a.m.
NEDg Description generation batch_69ce07837648819080cd4026af55b246 completed April 2, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69ce083cee848190b27a7dd19a16a0dc completed April 2, 2026, 6:10 a.m.
Created at: March 30, 2026, 6:06 p.m.