Triple

T14672832
Position Surface form Disambiguated ID Type / Status
Subject Cittareale E344554 entity
Predicate hasNearbyMountain P651 FINISHED
Object Monte Terminillo E345628 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 Terminillo | Statement: [Cittareale, hasNearbyMountain, Monte Terminillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monte Terminillo
Context triple: [Cittareale, hasNearbyMountain, Monte Terminillo]
  • A. Monte Terminillo chosen
    Monte Terminillo is a prominent Apennine mountain in central Italy, known for its ski resorts and hiking trails.
  • B. Monte San Pietrangeli
    Monte San Pietrangeli is a small Italian town in the Marche region known for its traditional footwear industry and historic hilltop setting.
  • C. Monte Giano
    Monte Giano is a mountain in the central Apennines of Italy, noted for its panoramic views and proximity to the historic town of Cittareale.
  • D. Monte Tuscolo
    Monte Tuscolo is a hill in the Alban Hills near modern Frascati in Italy, known for the ruins of the ancient Latin city of Tusculum and its historical villas and viewpoints over Rome.
  • E. Monte Cotento
    Monte Cotento is a notable mountain peak in central Italy, forming part of the Apennine range within the Simbruini Mountains.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb55064cc8190b9669d0b2da61825 completed April 14, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dba87c481908084c3cba5df3fcd completed May 9, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:27 a.m.