Triple

T18603077
Position Surface form Disambiguated ID Type / Status
Subject Ciarforon E454665 entity
Predicate nearbyPeak P7612 FINISHED
Object Becca di Monciair NE NERFINISHED

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: Becca di Monciair | Statement: [Ciarforon, nearbyPeak, Becca di Monciair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Becca di Monciair
Context triple: [Ciarforon, nearbyPeak, Becca di Monciair]
  • A. Becca di Monciair chosen
    Becca di Monciair is a mountain peak in the Graian Alps of northwestern Italy, known as part of the high alpine landscape surrounding the Gran Paradiso area.
  • B. Bellabeg
    Bellabeg is a small village in Strathdon, Aberdeenshire, Scotland, known for its role as the starting point of the annual Lonach Highland Gathering and March.
  • C. Piera
    Piera is a municipality in the comarca of Anoia in Catalonia, Spain, known for its historic town center and surrounding agricultural landscape.
  • D. Alessia
    Alessia is a feminine given name of Italian origin, notably borne by Canadian singer-songwriter Alessia Cara.
  • E. Lorenza
    Lorenza is a Chilean actress and model best known for her roles in films like "Knock Knock" and "Once Upon a Time in Hollywood."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54752abec8190a5f4aa84abe8b240 completed April 19, 2026, 9:21 p.m.
Created at: April 10, 2026, 11:45 a.m.