Triple

T19919265
Position Surface form Disambiguated ID Type / Status
Subject Clemente Maffei and team E478744 entity
Predicate hasClimbed P6289 FINISHED
Object Monte San Clemente NE NERFINISHED

How this triple was built (3 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 San Clemente | Statement: [Clemente Maffei and team, hasClimbed, Monte San Clemente]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monte San Clemente
Context triple: [Clemente Maffei and team, hasClimbed, Monte San Clemente]
  • A. Monte San Clemente
    Monte San Clemente is an alternative name for Monte San Valentín, the highest peak in Chilean Patagonia and a prominent mountain in the Northern Patagonian Ice Field.
  • B. Monte San Giovanni Campano
    Monte San Giovanni Campano is a historic hill town in Italy’s Lazio region, known for its medieval architecture and scenic position in the province of Frosinone.
  • C. Monte Nerone
    Monte Nerone is a prominent limestone massif in central Italy known for its rugged peaks, karst landscapes, and popular hiking and skiing routes.
  • D. Monte Rufeno
    Monte Rufeno is a forested natural area and protected reserve in central Italy, known for its rich biodiversity and hiking trails near the town of Acquapendente.
  • E. Monte San Biagio
    Monte San Biagio is a small Italian town in the Lazio region known for its historic hilltop setting and traditional agricultural products, particularly olives and wine.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Monte San Clemente
Target entity description: Monte San Clemente is a mountain peak, likely in Italy, known as a climbing destination reached by alpinists such as Clemente Maffei and his team.
  • A. Monte San Clemente
    Monte San Clemente is an alternative name for Monte San Valentín, the highest peak in Chilean Patagonia and a prominent mountain in the Northern Patagonian Ice Field.
  • B. Monte San Giovanni Campano
    Monte San Giovanni Campano is a historic hill town in Italy’s Lazio region, known for its medieval architecture and scenic position in the province of Frosinone.
  • C. Monte Nerone
    Monte Nerone is a prominent limestone massif in central Italy known for its rugged peaks, karst landscapes, and popular hiking and skiing routes.
  • D. Monte Rufeno
    Monte Rufeno is a forested natural area and protected reserve in central Italy, known for its rich biodiversity and hiking trails near the town of Acquapendente.
  • E. Monte San Biagio
    Monte San Biagio is a small Italian town in the Lazio region known for its historic hilltop setting and traditional agricultural products, particularly olives and wine.
  • F. None of above. chosen

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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659c49d408190b3a42bada3675133 completed April 20, 2026, 4:52 p.m.
Created at: April 10, 2026, 1:53 p.m.