Triple

T14739163
Position Surface form Disambiguated ID Type / Status
Subject Ciociaria E346295 entity
Predicate hasMountainRange P651 FINISHED
Object Monti Aurunci E227679 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: Monti Aurunci | Statement: [Ciociaria, hasMountainRange, Monti Aurunci]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monti Aurunci
Context triple: [Ciociaria, hasMountainRange, Monti Aurunci]
  • A. Monti Ernici
    Monti Ernici is a mountain range in central Italy, forming part of the Apennines and known for its rugged limestone peaks and natural landscapes.
  • B. Aurunci Mountains chosen
    The Aurunci Mountains are a limestone mountain range in central Italy, located between Lazio and Campania, known for their rugged peaks, karst landscapes, and inclusion in the Aurunci Regional Natural Park.
  • C. Cerreto Sannita
    Cerreto Sannita is a historic town in southern Italy renowned for its Baroque architecture and traditional ceramics craftsmanship.
  • D. 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.
  • E. Monti Ausoni
    Monti Ausoni is a limestone mountain range in southern Lazio, central Italy, known for its rugged karst landscapes and Mediterranean vegetation.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec73264848190be23c5f0260cbe13 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dba87c481908084c3cba5df3fcd completed May 9, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:29 a.m.