Triple

T12027591
Position Surface form Disambiguated ID Type / Status
Subject Metro San Joaquín E286316 entity
Predicate hasStationCode P1289 FINISHED
Object SJQ E873077 NE FINISHED

How this triple was built (2 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: [Metro San Joaquín, hasStationCode, SJQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SJQ
Context triple: [Metro San Joaquín, hasStationCode, SJQ]
  • A. SJQ chosen
    SJQ is the station code for San Joaquín, a station on the Mexico City Metro system.
  • B. JRQ
    JRQ is the abbreviation for Kyushu Railway Company, a major Japanese railway operator serving the Kyushu region.
  • C. SJ
    SJ is Sweden’s primary state-owned passenger train operator, running long-distance and regional rail services across the country.
  • D. SJ
    SJ is the vehicle registration code used on license plates for cars registered in Jaworzno, Poland.
  • E. SQ
    SQ is the commonly used abbreviation for Stadiums Queensland, the government agency responsible for managing major sports and entertainment venues in Queensland, Australia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903f13ae8819097a5740f7c51df82 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b8111b88190a42a8904a2d26862 completed May 1, 2026, 11:16 a.m.
Created at: April 8, 2026, 9:47 p.m.