Triple

T8849050
Position Surface form Disambiguated ID Type / Status
Subject Canton of Vaud E210585 entity
Predicate containsCity P294 FINISHED
Object Aigle E324473 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: Aigle | Statement: [Canton of Vaud, containsCity, Aigle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aigle
Context triple: [Canton of Vaud, containsCity, Aigle]
  • A. Aigle chosen
    Aigle is a historic town in southwestern Switzerland known for its medieval castle and surrounding vineyards in the canton of Vaud.
  • B. Nid d'Aigle
    Nid d'Aigle is a high-altitude railway terminus and popular starting point for mountaineers heading towards Mont Blanc in the French Alps.
  • C. Fuissé
    Fuissé is a renowned wine-producing village in France’s Burgundy region, particularly famous for its Pouilly-Fuissé Chardonnay wines.
  • D. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • E. Cheux
    Cheux is a small commune in the Calvados department of the Normandy region in northwestern France.
  • 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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60aa6db0819097c3257499200afc completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf89c6788881908d6f5c49434b556d completed April 3, 2026, 9:35 a.m.
Created at: March 30, 2026, 6:49 p.m.