Triple

T21453707
Position Surface form Disambiguated ID Type / Status
Subject Staines railway station E529282 entity
Predicate stationCode P1289 FINISHED
Object SNS 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: SNS | Statement: [Staines railway station, stationCode, SNS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SNS
Context triple: [Staines railway station, stationCode, SNS]
  • A. SNS
    SNS is the School of Natural Sciences at the University of California, Merced, which focuses on education and research in scientific disciplines such as biology, chemistry, physics, and related fields.
  • B. SNS
    SNS is a Slovak nationalist political party known for its right-wing, Eurosceptic positions and periodic representation in Slovakia’s National Council and governing coalitions.
  • C. SNS chosen
    SNS is the National Rail station code for Staines railway station in Surrey, England.
  • D. SNS
    SNS is the acronym for the Scuola Normale Superiore di Pisa, an elite Italian higher education and research institution renowned for its rigorous academic standards.
  • E. SNS
    SNS is the three-letter IATA airport code assigned to Salinas Municipal Airport in Salinas, California.
  • 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d50b88819081a771596d0a2b2b completed April 23, 2026, 9:43 a.m.
Created at: April 16, 2026, 6:07 p.m.