Triple

T19706214
Position Surface form Disambiguated ID Type / Status
Subject Guaita Tower E473220 entity
Predicate locatedOn P40 FINISHED
Object Mount Titano NE NERFINISHED

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 Titano | Statement: [Guaita Tower, locatedOn, Mount Titano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Titano
Context triple: [Guaita Tower, locatedOn, Mount Titano]
  • A. Mount Beppo
    Mount Beppo is a small rural locality in Queensland, Australia, known for its agricultural landscape and quiet country community within the Somerset Region.
  • B. Monte Titano chosen
    Monte Titano is a prominent mountain in the Apennine range of northeastern Italy, renowned as the rocky summit on which the historic city and republic of San Marino are built.
  • C. Mount Giona
    Mount Giona is a prominent mountain massif in central Greece known for its rugged terrain and significant elevation among the country’s highest peaks.
  • D. Mount Tauro
    Mount Tauro is the hill in Sicily on which the ancient Greek city of Tauromenium (modern Taormina) was founded, overlooking the Ionian Sea.
  • E. Mount Ugo
    Mount Ugo is a prominent mountain in the Cordillera region of northern Luzon in the Philippines, popular among hikers for its scenic trails and highland views.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642ba4bd08190b016b8c6664079c4 completed April 20, 2026, 3:14 p.m.
Created at: April 10, 2026, 1:46 p.m.