Triple

T19673459
Position Surface form Disambiguated ID Type / Status
Subject Shifnal railway station E472391 entity
Predicate stationCode P1289 FINISHED
Object SFN 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: SFN | Statement: [Shifnal railway station, stationCode, SFN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SFN
Context triple: [Shifnal railway station, stationCode, SFN]
  • A. SFN chosen
    SFN is the IATA airport code for Sauce Viejo Airport, which serves the city of Santa Fe in Argentina.
  • B. SAFN
    SAFN is a professional organization dedicated to advancing the anthropological study of food, nutrition, and related cultural practices.
  • C. SNF
    SNF is the National Rail station code for Shenfield railway station in Essex, England.
  • D. CFN
    CFN is a U.S. Department of Energy user facility at Brookhaven National Laboratory dedicated to research and development in nanoscience and nanotechnology.
  • E. SXF
    SXF is the standard abbreviation used for the Sioux Falls Skyforce, a professional basketball team in the NBA G League.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6416e19d881909248c4f778f7147a completed April 20, 2026, 3:08 p.m.
Created at: April 10, 2026, 1:45 p.m.