Triple

T9274439
Position Surface form Disambiguated ID Type / Status
Subject Matese mountains E222909 entity
Predicate contains P35 FINISHED
Object Monte Miletto E789698 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 Miletto | Statement: [Matese mountains, contains, Monte Miletto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monte Miletto
Context triple: [Matese mountains, contains, Monte Miletto]
  • A. Monte Miletto chosen
    Monte Miletto is a prominent peak in southern Italy’s Apennine range, known as the highest summit of the Matese massif.
  • B. Mount Epomeo
    Mount Epomeo is a volcanic peak on the Italian island of Ischia, known as its dominant summit and a popular destination for hiking and panoramic views over the Bay of Naples.
  • C. Monte Sammucro
    Monte Sammucro is a mountain in central Italy that was a notable geographic feature in the fighting along the German defensive positions during World War II.
  • D. Mount Sipylus
    Mount Sipylus is an ancient mountain in western Turkey traditionally associated with Greek myth, especially the story of Niobe’s transformation into stone.
  • E. Monte Spada
    Monte Spada is a mountain peak in the Gennargentu massif of central Sardinia, Italy, known for its rugged terrain and natural landscapes.
  • 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_69ca841ffe208190aa7bcffbef2f8379 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd078a045c8190b2c4d1ec64b932ad completed April 1, 2026, 11:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0e361a00881909b431dba0db978fd completed April 4, 2026, 10:09 a.m.
Created at: March 30, 2026, 7:33 p.m.