Triple

T2500832
Position Surface form Disambiguated ID Type / Status
Subject London Bridge railway station E52459 entity
Predicate hasStationCode P1289 FINISHED
Object LBG
LBG is the National Rail station code for London Bridge railway station, a major central London transport hub.
 E48092 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: LBG | Statement: [London Bridge railway station, hasStationCode, LBG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LBG
Context triple: [London Bridge railway station, hasStationCode, LBG]
  • A. LBG
    LBG is the IATA airport code for Paris–Le Bourget Airport, a historic airfield near Paris known for hosting the Paris Air Show.
  • B. BLBA
    BLBA is a U.S. federal law that provides compensation and medical benefits to coal miners (and their survivors) who are disabled by pneumoconiosis, commonly known as black lung disease.
  • C. LB
    LB is the two-letter ISO 3166-1 alpha-2 country code representing Lebanon.
  • D. LBF
    LBF is the IATA airport code for North Platte Regional Airport serving North Platte, Nebraska.
  • E. LBC
    LBC is a leading UK-based national talk radio station known for its news, politics, and phone-in discussion programmes.
  • 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: LBG
Triple: [London Bridge railway station, hasStationCode, LBG]
Generated description
LBG is the National Rail station code for London Bridge railway station, a major central London transport hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LBG
Target entity description: LBG is the National Rail station code for London Bridge railway station, a major central London transport hub.
  • A. LBG chosen
    LBG is the IATA airport code for Paris–Le Bourget Airport, a historic airfield near Paris known for hosting the Paris Air Show.
  • B. BLBA
    BLBA is a U.S. federal law that provides compensation and medical benefits to coal miners (and their survivors) who are disabled by pneumoconiosis, commonly known as black lung disease.
  • C. LB
    LB is the two-letter ISO 3166-1 alpha-2 country code representing Lebanon.
  • D. LBF
    LBF is the IATA airport code for North Platte Regional Airport serving North Platte, Nebraska.
  • E. LBC
    LBC is a leading UK-based national talk radio station known for its news, politics, and phone-in discussion programmes.
  • 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1b144a481909b1f8d96742a92e7 completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1fa0e26481908e383a6d44b3f3d5 completed March 9, 2026, 7:29 p.m.
NEDg Description generation batch_69af204c84c48190b56ee7c00bf2f996 completed March 9, 2026, 7:32 p.m.
NED2 Entity disambiguation (via description) batch_69af20fa30948190b2408ad9eefce79b completed March 9, 2026, 7:35 p.m.
Created at: March 6, 2026, 9:46 p.m.