Triple

T10057421
Position Surface form Disambiguated ID Type / Status
Subject Unified Silla E208896 entity
Predicate predecessor P97 FINISHED
Object Silla E113434 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: Silla | Statement: [Unified Silla, predecessor, Silla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silla
Context triple: [Unified Silla, predecessor, Silla]
  • A. Silla chosen
    Silla was an ancient Korean kingdom that unified most of the Korean Peninsula in the 7th century and played a central role in the development of early Korean culture, Buddhism, and statehood.
  • B. Sitton
    Sitton is a surname of English origin borne by various notable individuals, including athletes and public figures.
  • C. Gofa
    Gofa is an Omotic language spoken primarily by the Gofa people in southwestern Ethiopia.
  • D. Seisia
    Seisia is a small coastal community in far northern Queensland, Australia, known as a key Torres Strait transport and fishing hub near the tip of Cape York Peninsula.
  • E. Pilla
    Pilla is an Italian surname most notably associated with Franca Pilla, the wife of former Italian President Carlo Azeglio Ciampi.
  • 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_69ca836094408190a36a1ea7e9a86fcd completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcfaf7700819084dedf7b63e789c1 completed April 2, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a5258788190a4ecdefa5b520609 completed April 5, 2026, 5:22 p.m.
Created at: March 30, 2026, 8:57 p.m.