Triple

T5050480
Position Surface form Disambiguated ID Type / Status
Subject Bern–Thun railway line E113771 entity
Predicate hasStation P35 FINISHED
Object Kiesen
Kiesen is a municipality in the canton of Bern, Switzerland, served by a station on the Bern–Thun railway line.
 E491005 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: Kiesen | Statement: [Bern–Thun railway line, hasStation, Kiesen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kiesen
Context triple: [Bern–Thun railway line, hasStation, Kiesen]
  • A. Keshi
    Keshi is a horse-demon in Hindu mythology best known for being slain by the god Krishna (also called Kesava).
  • B. Kedzie
    Kedzie is a Chicago Transit Authority rapid transit station on the Pink Line serving the city's West Side.
  • C. Kedzie
    Kedzie is a Chicago Transit Authority 'L' station on the Brown Line serving the city's Northwest Side.
  • D. Daisi
    Daisi is a Georgian opera by composer Zakharia Paliashvili, renowned as one of the classics of Georgian national opera repertoire.
  • E. Kaikesi
    Kaikesi is a figure in the Hindu epic Ramayana, known as the rakshasi queen of Lanka and the mother of Ravana, Kumbhakarna, and Vibhishana.
  • 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: Kiesen
Triple: [Bern–Thun railway line, hasStation, Kiesen]
Generated description
Kiesen is a municipality in the canton of Bern, Switzerland, served by a station on the Bern–Thun railway line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kiesen
Target entity description: Kiesen is a municipality in the canton of Bern, Switzerland, served by a station on the Bern–Thun railway line.
  • A. Keshi
    Keshi is a horse-demon in Hindu mythology best known for being slain by the god Krishna (also called Kesava).
  • B. Kedzie
    Kedzie is a Chicago Transit Authority rapid transit station on the Pink Line serving the city's West Side.
  • C. Kedzie
    Kedzie is a Chicago Transit Authority 'L' station on the Brown Line serving the city's Northwest Side.
  • D. Daisi
    Daisi is a Georgian opera by composer Zakharia Paliashvili, renowned as one of the classics of Georgian national opera repertoire.
  • E. Kaikesi
    Kaikesi is a figure in the Hindu epic Ramayana, known as the rakshasi queen of Lanka and the mother of Ravana, Kumbhakarna, and Vibhishana.
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7425df74819091cfde348dd16a68 completed March 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea480fee88190a4302301259f29ba completed March 21, 2026, 2 p.m.
NEDg Description generation batch_69bea5e902a88190a96a0dea88d3952e completed March 21, 2026, 2:06 p.m.
NED2 Entity disambiguation (via description) batch_69bea9961f8c8190b7ac93e199aa76d7 completed March 21, 2026, 2:22 p.m.
Created at: March 20, 2026, 1:37 p.m.