Triple

T7534715
Position Surface form Disambiguated ID Type / Status
Subject Lugano E178117 entity
Predicate hasMountain P10602 FINISHED
Object Monte Brè E593130 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: Monte Brè | Statement: [Lugano, hasMountain, Monte Brè]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monte Brè
Context triple: [Lugano, hasMountain, Monte Brè]
  • A. Monte Brè chosen
    Monte Brè is a scenic mountain near Lugano in the Swiss canton of Ticino, known for its panoramic views over Lake Lugano and the surrounding Alps.
  • B. Monte Fumaiolo
    Monte Fumaiolo is a mountain in the northern Apennines of Italy best known as the source of the Tiber River.
  • C. Monte Civetta
    Monte Civetta is a prominent mountain in the Dolomites of northeastern Italy, renowned for its towering rock faces and popularity among climbers and hikers.
  • D. Monte Zebrù
    Monte Zebrù is a prominent mountain peak in the Eastern Alps of northern Italy, known for its glaciated slopes and challenging alpine climbing routes.
  • E. Monte Cristallo
    Monte Cristallo is a prominent mountain massif in the Italian Dolomites, renowned for its dramatic peaks and popular hiking and climbing routes.
  • 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_69c69f2acdbc8190b5a8320168c1d0ba completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f84a9d28819084ebfc44fcb2c29c completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856b687708190a1fe1351be70616b completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:47 p.m.