Triple

T13530963
Position Surface form Disambiguated ID Type / Status
Subject Arnhem–Nijmegen railway E323129 entity
Predicate hasStation P35 FINISHED
Object Elst
Elst is a town in the Netherlands that serves as a railway stop on the line between Arnhem and Nijmegen.
 E1045527 NE FINISHED

How this triple was built (4 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: Elst | Statement: [Arnhem–Nijmegen railway, hasStation, Elst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elst
Context triple: [Arnhem–Nijmegen railway, hasStation, Elst]
  • A. Elst
    Elst is a village in the Dutch municipality of Brakel, known as a small rural settlement in the province of Gelderland in the Netherlands.
  • B. Elswit
    Elswit is the surname of Robert Elswit, an acclaimed American cinematographer known for his work on films such as "There Will Be Blood."
  • C. Elingaard
    Elingaard is a historic estate and former manor located in the municipality of Rygge in southeastern Norway.
  • D. Elsenz
    The Elsenz is a river in southwestern Germany that flows through the Kraichgau region before joining the Neckar.
  • E. Léaz
    Léaz is a small French commune located in eastern France near the Swiss border, within the Ain department.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Elst
Triple: [Arnhem–Nijmegen railway, hasStation, Elst]
Generated description
Elst is a town in the Netherlands that serves as a railway stop on the line between Arnhem and Nijmegen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elst
Target entity description: Elst is a town in the Netherlands that serves as a railway stop on the line between Arnhem and Nijmegen.
  • A. Elst
    Elst is a village in the Dutch municipality of Brakel, known as a small rural settlement in the province of Gelderland in the Netherlands.
  • B. Elswit
    Elswit is the surname of Robert Elswit, an acclaimed American cinematographer known for his work on films such as "There Will Be Blood."
  • C. Elingaard
    Elingaard is a historic estate and former manor located in the municipality of Rygge in southeastern Norway.
  • D. Elsenz
    The Elsenz is a river in southwestern Germany that flows through the Kraichgau region before joining the Neckar.
  • E. Léaz
    Léaz is a small French commune located in eastern France near the Swiss border, within the Ain department.
  • F. None of above. chosen

Provenance (5 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafba2c308190873efd15dfe26358 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7549fc5f881908691eb62c1f5a5d5 completed May 3, 2026, 1:58 p.m.
NEDg Description generation batch_69f7565846108190bb6550505af8ac5d completed May 3, 2026, 2:06 p.m.
NED2 Entity disambiguation (via description) batch_69f75a2107e081909fd00af67938f2e9 completed May 3, 2026, 2:22 p.m.
Created at: April 9, 2026, 9:44 p.m.