Triple

T5493347
Position Surface form Disambiguated ID Type / Status
Subject Morges railway station E123753 entity
Predicate locatedIn P40 FINISHED
Object Morges E230089 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: Morges | Statement: [Morges railway station, locatedIn, Morges]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morges
Context triple: [Morges railway station, locatedIn, Morges]
  • A. Morges chosen
    Morges is a Swiss town on the shores of Lake Geneva that historically hosted the founding of the World Wildlife Fund and serves as a local cultural and economic center in the canton of Vaud.
  • B. Menthon-Saint-Bernard
    Menthon-Saint-Bernard is a picturesque commune in southeastern France, known for its lakeside setting on Lake Annecy and its historic hilltop château.
  • C. Bardonnex
    Bardonnex is a small Swiss municipality located in the canton of Geneva, near the country’s border with France.
  • D. Corsier-sur-Vevey
    Corsier-sur-Vevey is a small municipality on the shores of Lake Geneva in the canton of Vaud, Switzerland, known as the final home of film legend Charlie Chaplin.
  • E. Vallorbe
    Vallorbe is a Swiss municipality in the canton of Vaud, known for its location near the French border and its notable karst caves and natural landscapes.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9281a0148190bb7a8dae9c991b9c completed March 20, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf833b88d881908e9b6180c74f72fb completed March 22, 2026, 5:50 a.m.
Created at: March 20, 2026, 2:10 p.m.