Triple

T13515380
Position Surface form Disambiguated ID Type / Status
Subject Province of Ancona E322745 entity
Predicate contains P35 FINISHED
Object Mount Conero E992084 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: Mount Conero | Statement: [Province of Ancona, contains, Mount Conero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Conero
Context triple: [Province of Ancona, contains, Mount Conero]
  • A. Mount Conero chosen
    Mount Conero is a prominent limestone promontory on Italy’s Adriatic coast near Ancona, known for its scenic cliffs, beaches, and surrounding natural park.
  • B. Monte San Salvatore
    Monte San Salvatore is a prominent mountain overlooking Lake Lugano in southern Switzerland, known for its panoramic views and popular hiking and cable car access.
  • C. Monte San Salvatore
    Monte San Salvatore is a mountain peak located within the Madonie mountain range in northern Sicily, Italy.
  • D. Monte Spada
    Monte Spada is a mountain peak in the Gennargentu massif of central Sardinia, Italy, known for its rugged terrain and natural landscapes.
  • E. Monte Pelmo
    Monte Pelmo is a prominent mountain in the Dolomites of northeastern Italy, renowned for its massive block-like shape and popularity among hikers and climbers.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa0ed508190b2855171b1945e84 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d91e35881909a7184be0ad70c14 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:44 p.m.