Triple

T3532831
Position Surface form Disambiguated ID Type / Status
Subject Quantico (Amtrak station) E74699 entity
Predicate hasStationCode P1289 FINISHED
Object QAN
QAN is the Amtrak station code for the Quantico train station in Quantico, Virginia.
 E366228 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: QAN | Statement: [Quantico (Amtrak station), hasStationCode, QAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: QAN
Context triple: [Quantico (Amtrak station), hasStationCode, QAN]
  • A. QAN
    QAN is the Australian Securities Exchange (ASX) stock ticker for Qantas Airways Limited, Australia’s flagship airline.
  • B. ANQ
    ANQ is the commonly used acronym for the National Assembly of Quebec, the unicameral legislative body of the Canadian province of Quebec.
  • C. QE
    QE is the abbreviated name for QatarEnergy, the state-owned petroleum and natural gas company of Qatar.
  • D. QF
    QF is the IATA airline designator used for Qantas, the flag carrier of Australia.
  • E. Q’s
    Q’s is the nickname commonly used for the former American Basketball Association team the San Diego Conquistadors.
  • 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: QAN
Triple: [Quantico (Amtrak station), hasStationCode, QAN]
Generated description
QAN is the Amtrak station code for the Quantico train station in Quantico, Virginia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: QAN
Target entity description: QAN is the Amtrak station code for the Quantico train station in Quantico, Virginia.
  • A. QAN
    QAN is the Australian Securities Exchange (ASX) stock ticker for Qantas Airways Limited, Australia’s flagship airline.
  • B. ANQ
    ANQ is the commonly used acronym for the National Assembly of Quebec, the unicameral legislative body of the Canadian province of Quebec.
  • C. QE
    QE is the abbreviated name for QatarEnergy, the state-owned petroleum and natural gas company of Qatar.
  • D. QF
    QF is the IATA airline designator used for Qantas, the flag carrier of Australia.
  • E. Q’s
    Q’s is the nickname commonly used for the former American Basketball Association team the San Diego Conquistadors.
  • 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc9b945481909867d44b810e8b1f completed March 8, 2026, 6:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e9a2b848190a5c2b3072fa6c44c completed March 13, 2026, 3:03 a.m.
NEDg Description generation batch_69b37f07ab70819089fdb7083b81b992 completed March 13, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_69b38078bc288190b69d73a64acce8ca completed March 13, 2026, 3:11 a.m.
Created at: March 8, 2026, 3:19 p.m.