Triple

T11764860
Position Surface form Disambiguated ID Type / Status
Subject Asolo E279755 entity
Predicate locatedNear P294 FINISHED
Object Monte Grappa E749749 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 Grappa | Statement: [Asolo, locatedNear, Monte Grappa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monte Grappa
Context triple: [Asolo, locatedNear, Monte Grappa]
  • A. Monte Grappa chosen
    Monte Grappa is a prominent mountain in the Venetian Prealps of northeastern Italy, historically significant as a major World War I battlefield and now known for its memorials, hiking, and panoramic views.
  • B. Monte Tancia
    Monte Tancia is a prominent mountain peak in central Italy’s Lazio region, known for its scenic landscapes and hiking trails within the Sabine range.
  • C. Monte Resegone
    Monte Resegone is a distinctive, saw-toothed mountain massif in the Bergamo Alps of northern Italy, overlooking the city of Lecco and popular for hiking and climbing.
  • D. Monte Bove
    Monte Bove is a prominent mountain peak in southern Chilean Patagonia, known for its rugged terrain and remote, windswept location near the Beagle Channel.
  • E. Monte Sole
    Monte Sole is a mountainous area in the Apennines of northern Italy, historically known as the site of one of the worst civilian massacres in Europe during World War II.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a525948081908af62cc5d4c7c482 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a570ca88190ba2f3791c0e0ba60 completed April 28, 2026, 2:24 a.m.
Created at: April 8, 2026, 9:41 p.m.