Triple

T21118946
Position Surface form Disambiguated ID Type / Status
Subject Shalford railway station E520373 entity
Predicate hasStationCode P1289 FINISHED
Object SFR 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: SFR | Statement: [Shalford railway station, hasStationCode, SFR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SFR
Context triple: [Shalford railway station, hasStationCode, SFR]
  • A. SFR
    SFR is the ICAO airline designator assigned to the South African low-cost carrier FlySafair.
  • B. SFR chosen
    SFR is a major French telecommunications company providing mobile, internet, and television services.
  • C. SFRS
    SFRS is the national fire and rescue service responsible for fire safety, emergency response, and rescue operations across Scotland.
  • D. SRF
    SRF is the German-language division of the Swiss Broadcasting Corporation, responsible for producing and broadcasting radio, television, and online content in German-speaking Switzerland.
  • E. SRF
    SRF is a French filmmakers' association best known for organizing the Directors' Fortnight sidebar at the Cannes Film Festival and advocating for directors' artistic and professional interests.
  • 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_69e0b50a623881909c0bbaf4f2c055e7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7223176c48190bfbaea41c2209a15 completed April 21, 2026, 7:07 a.m.
Created at: April 16, 2026, 2:55 p.m.