Triple

T20200004
Position Surface form Disambiguated ID Type / Status
Subject San Giovanni in Fiore E493188 entity
Predicate locatedIn P40 FINISHED
Object Sila 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: Sila | Statement: [San Giovanni in Fiore, locatedIn, Sila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sila
Context triple: [San Giovanni in Fiore, locatedIn, Sila]
  • A. Sila chosen
    Sila is a mountainous plateau in Calabria, southern Italy, known for its dense forests, lakes, and national park.
  • B. Sila
    Sila is the Buddhist principle of ethical conduct and moral discipline, forming a core component of the path to liberation.
  • C. Sihala
    Sihala is a settlement in Pakistan located near the Soan River, known primarily for its proximity to this important waterway in the region.
  • D. Sali
    Sali is a masculine given name most notably borne by Sali Berisha, a prominent Albanian politician and former president and prime minister of Albania.
  • E. Silay
    Silay is a heritage-rich city in the Philippine province of Negros Occidental, known for its well-preserved ancestral houses and cultural history.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d8d01648190b1b3a6e03f0258d8 completed April 20, 2026, 6:16 p.m.
Created at: April 11, 2026, 11:37 p.m.