Triple

T12521505
Position Surface form Disambiguated ID Type / Status
Subject Sila E299329 entity
Predicate hasPart P35 FINISHED
Object Sila Grande E877567 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: Sila Grande | Statement: [Sila, hasPart, Sila Grande]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sila Grande
Context triple: [Sila, hasPart, Sila Grande]
  • A. Sila Grande chosen
    Sila Grande is a prominent peak within Italy’s Sila mountain range, known for its high elevation and natural landscapes.
  • B. Agujas Grandes
    Agujas Grandes is the prominent peak that forms the main mountainous landmark on the Canary Island of La Graciosa, Spain.
  • C. Bucas Grande
    Bucas Grande is a scenic island in the Philippines known for its emerald lagoons, limestone cliffs, and popular Sohoton Cove tourist area.
  • D. Alcantara
    Alcantara is a coastal municipality located in the island province of Romblon in the Philippines.
  • E. Cogua
    Cogua is a municipality in the Cundinamarca Department of Colombia, located on the Bogotá savanna north of the capital.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9545b2b2481909049a490c97678f2 completed April 10, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bbf43e08190ae79f92ed5882ce2 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.