Triple

T1344250
Position Surface form Disambiguated ID Type / Status
Subject Cardiff Queen Street E28533 entity
Predicate stationCode P1289 FINISHED
Object CDQ
CDQ is the National Rail station code for Cardiff Queen Street railway station, a major commuter hub in Cardiff, Wales.
 E153412 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: CDQ | Statement: [Cardiff Queen Street, stationCode, CDQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CDQ
Context triple: [Cardiff Queen Street, stationCode, CDQ]
  • A. The QC
    The QC is a popular nickname for Charlotte, North Carolina, reflecting its identity as a major financial and cultural hub in the southeastern United States.
  • B. QF
    QF is the IATA airline designator used for Qantas, the flag carrier of Australia.
  • C. QR
    QR is the two-letter IATA airline designator assigned to Qatar Airways, the flag carrier of Qatar.
  • D. QUNO
    QUNO is a Quaker organization that engages in quiet diplomacy and advocacy at the United Nations on issues such as peace, human rights, and social justice.
  • E. QC
    QC is a common abbreviation for Quezon City, a major urban center and former capital located in Metro Manila, Philippines.
  • 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: CDQ
Triple: [Cardiff Queen Street, stationCode, CDQ]
Generated description
CDQ is the National Rail station code for Cardiff Queen Street railway station, a major commuter hub in Cardiff, Wales.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CDQ
Target entity description: CDQ is the National Rail station code for Cardiff Queen Street railway station, a major commuter hub in Cardiff, Wales.
  • A. The QC
    The QC is a popular nickname for Charlotte, North Carolina, reflecting its identity as a major financial and cultural hub in the southeastern United States.
  • B. QF
    QF is the IATA airline designator used for Qantas, the flag carrier of Australia.
  • C. QR
    QR is the two-letter IATA airline designator assigned to Qatar Airways, the flag carrier of Qatar.
  • D. QUNO
    QUNO is a Quaker organization that engages in quiet diplomacy and advocacy at the United Nations on issues such as peace, human rights, and social justice.
  • E. QC
    QC is a common abbreviation for Quezon City, a major urban center and former capital located in Metro Manila, Philippines.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c23b8a9081908b78405d4ef806af completed March 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc6351cbc81909e2ffc692ee92b54 completed March 8, 2026, 12:43 a.m.
NEDg Description generation batch_69acc6af0db88190a02936072783553e completed March 8, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_69acc722d8608190acbef82f180b75d1 completed March 8, 2026, 12:47 a.m.
Created at: March 1, 2026, 7:56 p.m.