Triple

T1234176
Position Surface form Disambiguated ID Type / Status
Subject Kuril Islands E26507 entity
Predicate hasUNLOCODERegion P3446 FINISHED
Object RU-SAK 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: RU-SAK | Statement: [Kuril Islands, hasUNLOCODERegion, RU-SAK]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUNLOCODERegion
Context triple: [Kuril Islands, hasUNLOCODERegion, RU-SAK]
  • A. hasUNLocode
    Indicates that an entity is associated with a specific UN/LOCODE, identifying its location in the United Nations location code system.
  • B. hasRegionCode chosen
    Indicates that an entity is associated with a specific regional identifier or code.
  • C. hasRegion
    Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
  • D. isUNGeoschemeRegion
    Indicates that a region is classified according to the United Nations geoscheme regional grouping system.
  • E. hasPostalAddressRegion
    Indicates the region component (such as state, province, or area) associated with an entity’s postal address.
  • 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be5d16ec819088056167c88d3318 completed March 1, 2026, 10:31 p.m.
PD Predicate disambiguation batch_69a4bb65d61c8190bf0424ea0019a98b completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:47 p.m.