Triple

T21362598
Position Surface form Disambiguated ID Type / Status
Subject Lubliniec E526820 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object SLU NE NERFINISHED

How this triple was built (3 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: SLU | Statement: [Lubliniec, vehicleRegistrationCode, SLU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SLU
Context triple: [Lubliniec, vehicleRegistrationCode, SLU]
  • A. SLU
    SLU is the station code for Santa Lucía, a stop on the Santiago Metro system in Chile.
  • B. SLU
    SLU is a Swedish university specializing in agricultural, environmental, and life sciences research and education.
  • C. SLU
    SLU is the IATA airport code for George F. L. Charles Airport, a regional airport serving Castries in Saint Lucia.
  • D. SLU
    SLU is a private Catholic university in Baguio City, Philippines, known for its comprehensive academic programs and significant role in higher education in Northern Luzon.
  • E. SLU School of Law
    SLU School of Law is the law school of Saint Louis University, known for its strong programs in health law, public interest, and practical legal training.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SLU
Target entity description: SLU is the vehicle registration code assigned to motor vehicles registered in the town of Lubliniec in Poland.
  • A. SLU
    SLU is the station code for Santa Lucía, a stop on the Santiago Metro system in Chile.
  • B. SLU
    SLU is a Swedish university specializing in agricultural, environmental, and life sciences research and education.
  • C. SLU
    SLU is the IATA airport code for George F. L. Charles Airport, a regional airport serving Castries in Saint Lucia.
  • D. SLU
    SLU is a private Catholic university in Baguio City, Philippines, known for its comprehensive academic programs and significant role in higher education in Northern Luzon.
  • E. SLU School of Law
    SLU School of Law is the law school of Saint Louis University, known for its strong programs in health law, public interest, and practical legal training.
  • F. None of above. chosen

Provenance (2 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_69e0b51d8a308190b09113b3b3f9bc15 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee5bad6a308190a9665734a0fb5f55 completed April 26, 2026, 6:38 p.m.
Created at: April 16, 2026, 5:08 p.m.