Triple

T17530893
Position Surface form Disambiguated ID Type / Status
Subject Sosnowiec E426926 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object SO NE NERFINISHED

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: SO | Statement: [Sosnowiec, vehicleRegistrationCode, SO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SO
Context triple: [Sosnowiec, vehicleRegistrationCode, SO]
  • A. SO
    SO is the Swiss canton code for Solothurn, used as the vehicle registration identifier for that region.
  • B. SO chosen
    SO is the vehicle registration code used on license plates for vehicles registered in the Spanish province of Soria.
  • C. SO
    SO is the two-letter ISO 3166-1 alpha-2 country code assigned to Somalia for international identification and data standards.
  • D. SO
    SO is the New York Stock Exchange ticker symbol for Southern Company, a major U.S. electric and gas utility holding company based in the Southeast.
  • E. SO
    SO is an abbreviation for the Southern Oscillation, a large-scale atmospheric pressure pattern in the tropical Pacific that underlies the El Niño–La Niña climate cycle.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e453688950819098162d853cd2674e completed April 19, 2026, 4 a.m.
Created at: April 10, 2026, 5:49 a.m.