Triple

T14415524
Position Surface form Disambiguated ID Type / Status
Subject Pully E357440 entity
Predicate canton P3942 FINISHED
Object Vaud E64446 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: Vaud | Statement: [Pully, canton, Vaud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vaud
Context triple: [Pully, canton, Vaud]
  • A. Vaud chosen
    Vaud is a French-speaking canton in western Switzerland known for its picturesque Lake Geneva shoreline, Alpine scenery, and historic towns such as Lausanne and Montreux.
  • B. Gros-de-Vaud
    Gros-de-Vaud is a predominantly rural district in the canton of Vaud, Switzerland, known for its agricultural landscape and small towns.
  • C. VAUD
    VAUD is the ICAO airport code assigned to Maharana Pratap Airport in Udaipur, India.
  • D. Nyon District
    Nyon District is an administrative district in the canton of Vaud in western Switzerland, situated along Lake Geneva and functioning as part of the broader Geneva metropolitan region.
  • E. Port-Valais
    Port-Valais is a small Swiss municipality in the canton of Valais, located near the eastern end of Lake Geneva and known for its scenic lakeside and Rhône delta 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cc99208190a2313b1acfb5d802 completed April 14, 2026, 7:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde16198488190ad69eeebd09c45da completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:17 a.m.