Triple

T19189461
Position Surface form Disambiguated ID Type / Status
Subject Ruswarp railway station E469793 entity
Predicate locatedIn P40 FINISHED
Object Ruswarp 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: Ruswarp | Statement: [Ruswarp railway station, locatedIn, Ruswarp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruswarp
Context triple: [Ruswarp railway station, locatedIn, Ruswarp]
  • A. Ruswarp chosen
    Ruswarp is a small village in North Yorkshire, England, situated near Whitby along the River Esk and known for its scenic countryside and heritage railway connections.
  • B. Rylsk
    Rylsk is a historic town that once served as the political and administrative center of the medieval Principality of Rylsk in Eastern Europe.
  • C. Krewo
    Krewo is a historic village in present-day Belarus, best known as the site where the Union of Krewo was concluded in 1385, marking a pivotal dynastic union between the Kingdom of Poland and the Grand Duchy of Lithuania.
  • D. Rytwiany
    Rytwiany is a village in south-central Poland known for its historic monastery complex and role as a local administrative center.
  • E. Twaron
    Twaron is a high-strength, heat-resistant aramid fiber used in applications such as body armor, aerospace components, and industrial reinforcement, similar in performance to Kevlar.
  • 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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f8a01d08819081608a6ab8c6e705 completed April 20, 2026, 9:57 a.m.
Created at: April 10, 2026, 12:07 p.m.