Triple

T10297745
Position Surface form Disambiguated ID Type / Status
Subject Dorsey station E241539 entity
Predicate hasStationCode P1289 FINISHED
Object DOR E349057 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: DOR | Statement: [Dorsey station, hasStationCode, DOR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DOR
Context triple: [Dorsey station, hasStationCode, DOR]
  • A. DOR
    DOR is the standard abbreviation used for the Mexican football club Dorados de Sinaloa.
  • B. DOR chosen
    DOR is the vehicle registration code used on license plates for the English county of Dorset.
  • C. DOR
    DOR is the California state agency that provides vocational rehabilitation and related services to help individuals with disabilities prepare for, obtain, and retain employment.
  • D. Dor
    Dor is the standard astronomical abbreviation for Dorado, a southern constellation named after the dolphinfish and known for containing part of the Large Magellanic Cloud.
  • E. DUR
    DUR is the IATA airport code for King Shaka International Airport serving Durban, South Africa.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2ed50908190962f0d6d049fb964 completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d2cc9c48190bc36f6a4f8144b7f completed April 9, 2026, 3:29 a.m.
Created at: April 6, 2026, 11:43 a.m.