Triple

T10581969
Position Surface form Disambiguated ID Type / Status
Subject San Joaquín metro station E249756 entity
Predicate hasStationCode P1289 FINISHED
Object SJQ
SJQ is the station code for San Joaquín, a station on the Mexico City Metro system.
 E873077 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: SJQ | Statement: [San Joaquín metro station, hasStationCode, SJQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SJQ
Context triple: [San Joaquín metro station, hasStationCode, SJQ]
  • A. SJ
    SJ is Sweden’s primary state-owned passenger train operator, running long-distance and regional rail services across the country.
  • B. SQ
    SQ is the commonly used abbreviation for Stadiums Queensland, the government agency responsible for managing major sports and entertainment venues in Queensland, Australia.
  • C. SQ
    SQ is the IATA airline designator used worldwide to identify Singapore Airlines on tickets, timetables, and flight numbers.
  • D. SQ
    SQ is the stock ticker symbol for Block, Inc. (formerly Square, Inc.), a major American financial technology company known for its payment processing and digital financial services.
  • E. 4SJ
    4SJ is the nickname of Forrest J Ackerman, the influential science fiction fan, editor, and literary agent often called the "Father of Science Fiction."
  • 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: SJQ
Triple: [San Joaquín metro station, hasStationCode, SJQ]
Generated description
SJQ is the station code for San Joaquín, a station on the Mexico City Metro system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SJQ
Target entity description: SJQ is the station code for San Joaquín, a station on the Mexico City Metro system.
  • A. SJ
    SJ is Sweden’s primary state-owned passenger train operator, running long-distance and regional rail services across the country.
  • B. SQ
    SQ is the commonly used abbreviation for Stadiums Queensland, the government agency responsible for managing major sports and entertainment venues in Queensland, Australia.
  • C. SQ
    SQ is the IATA airline designator used worldwide to identify Singapore Airlines on tickets, timetables, and flight numbers.
  • D. SQ
    SQ is the stock ticker symbol for Block, Inc. (formerly Square, Inc.), a major American financial technology company known for its payment processing and digital financial services.
  • E. 4SJ
    4SJ is the nickname of Forrest J Ackerman, the influential science fiction fan, editor, and literary agent often called the "Father of Science Fiction."
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d52766d53c8190b51753768ab58c31 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b78ff28819085acf84418d54733 completed April 10, 2026, 7:11 p.m.
NEDg Description generation batch_69d94d67e16481908efb939a3e65004c completed April 10, 2026, 7:20 p.m.
NED2 Entity disambiguation (via description) batch_69d95227a1f48190ab847606a9ae0500 completed April 10, 2026, 7:40 p.m.
Created at: April 6, 2026, 12:39 p.m.