Triple

T12808277
Position Surface form Disambiguated ID Type / Status
Subject Asia/Ust-Nera E306200 entity
Predicate ianaDatabaseFile P39070 FINISHED
Object asia LITERAL 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: asia | Statement: [Asia/Ust-Nera, ianaDatabaseFile, asia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ianaDatabaseFile
Context triple: [Asia/Ust-Nera, ianaDatabaseFile, asia]
  • A. dataFile chosen
    Indicates a relationship where one entity serves as or is associated with a specific data file used, stored, or referenced by another entity.
  • B. primaryDatabaseFormat
    Indicates the main data storage format or structure used by a database as its default or principal representation.
  • C. derby
    Indicates a competitive match or contest, typically between closely linked or rival entities (such as teams from the same area or group).
  • D. usedInDatabases
    Indicates that something is employed or implemented within one or more database systems or database contexts.
  • E. eraSystem
    Indicates a temporal classification relationship where an entity is associated with a particular era or chronological system used to organize time.
  • F. None of above.

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_69d7bdf46c448190b1faa55aaacb6317 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e808130819080f404b3a7462c2e completed April 10, 2026, 9:41 p.m.
PD Predicate disambiguation batch_69d9640ed7448190b276e7fab649f7d2 completed April 10, 2026, 8:56 p.m.
Created at: April 9, 2026, 5:31 p.m.