Triple

T12625336
Position Surface form Disambiguated ID Type / Status
Subject Aspromonte National Park E301496 entity
Predicate highestPoint P210 FINISHED
Object Montalto E993607 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: Montalto | Statement: [Aspromonte National Park, highestPoint, Montalto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montalto
Context triple: [Aspromonte National Park, highestPoint, Montalto]
  • A. Montalto chosen
    Montalto is the highest peak of the Aspromonte massif in Calabria, southern Italy, known for its rugged terrain and panoramic views over the surrounding region.
  • B. Montasola
    Montasola is a small Italian municipality in the Lazio region, known for its historic hilltop setting and scenic views within the Province of Rieti.
  • C. Cascia
    Cascia is a historic hill town and pilgrimage site in the Umbria region of central Italy, best known for its association with Saint Rita of Cascia.
  • D. Montagnola
    Montagnola is a village in the Swiss canton of Ticino, known for being the longtime residence and final home of writer Hermann Hesse.
  • E. Montegrande
    Montegrande is a small rural village in Chile’s Elqui Valley, known for its scenic Andean landscapes and traditional agricultural surroundings.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9610a897c8190a96f3c78d4b270a2 completed April 10, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68eab6148819080a58e20499186fa completed May 2, 2026, 11:54 p.m.
Created at: April 9, 2026, 5:14 p.m.