Triple

T9861767
Position Surface form Disambiguated ID Type / Status
Subject Pilning railway station E239730 entity
Predicate serves P98 FINISHED
Object Pilning E239730 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: Pilning | Statement: [Pilning railway station, serves, Pilning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pilning
Context triple: [Pilning railway station, serves, Pilning]
  • A. Pilning chosen
    Pilning is a village in South Gloucestershire, England, near the Severn Estuary and close to the English end of the Severn crossings between England and Wales.
  • B. Oksbøl
    Oksbøl is a town in southwestern Jutland, Denmark, known for its military training areas and historical role as a garrison location.
  • C. Hellebæk
    Hellebæk is a coastal town in northeastern Zealand, Denmark, known for its scenic setting near Helsingør and its historic industrial and residential architecture.
  • D. Ginnerup
    Ginnerup is a small village in Denmark best known as the birthplace of former Danish Prime Minister and NATO Secretary General Anders Fogh Rasmussen.
  • E. Lemvig
    Lemvig is a small coastal town in western Denmark known for its harbor, hilly landscape, and location along the Limfjord.
  • 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_69ca84e6493081909cf58c8d42ea856b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3b6aa108190978f1c0cdc0f45a0 completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d281b9254c81908d5acbdb42196ab1 completed April 5, 2026, 3:37 p.m.
Created at: March 30, 2026, 8:35 p.m.