Triple

T1453437
Position Surface form Disambiguated ID Type / Status
Subject London St Pancras International E31343 entity
Predicate hasIATAcode P2569 FINISHED
Object QQS
QQS is the IATA station code for London St Pancras International, a major central London railway terminus and international high-speed rail hub.
E166170 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: QQS | Statement: [London St Pancras International, hasIATAcode, QQS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: QQS
Context triple: [London St Pancras International, hasIATAcode, QQS]
  • A. QQQ
    QQQ is a popular exchange-traded fund (ETF) that tracks the performance of the Nasdaq-100 Index, providing exposure to many of the largest non-financial companies listed on the Nasdaq stock market.
  • B. Q’s
    Q’s is the nickname commonly used for the former American Basketball Association team the San Diego Conquistadors.
  • C. QF
    QF is the IATA airline designator used for Qantas, the flag carrier of Australia.
  • D. QAN
    QAN is the Australian Securities Exchange (ASX) stock ticker for Qantas Airways Limited, Australia’s flagship airline.
  • E. 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.
  • 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: QQS
Triple: [London St Pancras International, hasIATAcode, QQS]
Generated description
QQS is the IATA station code for London St Pancras International, a major central London railway terminus and international high-speed rail hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: QQS
Target entity description: QQS is the IATA station code for London St Pancras International, a major central London railway terminus and international high-speed rail hub.
  • A. QQQ
    QQQ is a popular exchange-traded fund (ETF) that tracks the performance of the Nasdaq-100 Index, providing exposure to many of the largest non-financial companies listed on the Nasdaq stock market.
  • B. Q’s
    Q’s is the nickname commonly used for the former American Basketball Association team the San Diego Conquistadors.
  • C. QF
    QF is the IATA airline designator used for Qantas, the flag carrier of Australia.
  • D. QAN
    QAN is the Australian Securities Exchange (ASX) stock ticker for Qantas Airways Limited, Australia’s flagship airline.
  • E. 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.
  • 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_69a499171a28819085b993a3ac78e363 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c57e82d48190a30a4512f39f5de0 completed March 1, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08c7db088190877addd5edd6c087 completed March 8, 2026, 5:27 a.m.
NEDg Description generation batch_69ad09ae79588190a64a0897352bfc28 completed March 8, 2026, 5:31 a.m.
NED2 Entity disambiguation (via description) batch_69ad0ac635008190bb82bbb2c27adda5 completed March 8, 2026, 5:36 a.m.
Created at: March 1, 2026, 8 p.m.