Triple

T8031264
Position Surface form Disambiguated ID Type / Status
Subject Bradford Forster Square railway station E186983 entity
Predicate stationCode P1289 FINISHED
Object BDQ
BDQ is the National Rail station code for Bradford Forster Square railway station in West Yorkshire, England.
 E708389 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: BDQ | Statement: [Bradford Forster Square railway station, stationCode, BDQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BDQ
Context triple: [Bradford Forster Square railway station, stationCode, BDQ]
  • A. BDQ
    BDQ is the IATA airport code for Vadodara Airport in Gujarat, India.
  • B. BUQ
    BUQ is the IATA airport code for Joshua Mqabuko Nkomo International Airport serving Bulawayo, Zimbabwe.
  • C. BQJ
    BQJ is the IATA airport code for Batagay Airport serving the settlement of Batagay in Russia’s Sakha Republic.
  • D. DQI
    DQI is the American Physical Society’s Division of Quantum Information, a professional unit focused on advancing research and collaboration in quantum information science.
  • E. DNQ
    DNQ is the IATA airport code for Deniliquin Airport, a regional airport serving the town of Deniliquin in New South Wales, Australia.
  • 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: BDQ
Triple: [Bradford Forster Square railway station, stationCode, BDQ]
Generated description
BDQ is the National Rail station code for Bradford Forster Square railway station in West Yorkshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BDQ
Target entity description: BDQ is the National Rail station code for Bradford Forster Square railway station in West Yorkshire, England.
  • A. BDQ
    BDQ is the IATA airport code for Vadodara Airport in Gujarat, India.
  • B. BUQ
    BUQ is the IATA airport code for Joshua Mqabuko Nkomo International Airport serving Bulawayo, Zimbabwe.
  • C. BQJ
    BQJ is the IATA airport code for Batagay Airport serving the settlement of Batagay in Russia’s Sakha Republic.
  • D. DQI
    DQI is the American Physical Society’s Division of Quantum Information, a professional unit focused on advancing research and collaboration in quantum information science.
  • E. DNQ
    DNQ is the IATA airport code for Deniliquin Airport, a regional airport serving the town of Deniliquin in New South Wales, Australia.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3eef921081908d0ea21f142c175a completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56e812dc81908916fc7163ae344a completed March 31, 2026, 11:21 p.m.
NEDg Description generation batch_69cc58abd96c8190ab9eeaece67d5408 completed March 31, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cc2f71081909cb7c0c245368edb completed March 31, 2026, 11:46 p.m.
Created at: March 30, 2026, 5:22 p.m.