Triple

T30782558
Position Surface form Disambiguated ID Type / Status
Subject NGI E783856 entity
Predicate regionOfAllocation P65949 FINISHED
Object north-eastern Poland 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: north-eastern Poland | Statement: [NGI, regionOfAllocation, north-eastern Poland]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regionOfAllocation
Context triple: [NGI, regionOfAllocation, north-eastern Poland]
  • A. occupiedRegion
    Indicates that an entity has taken control of and is currently holding a specific geographic area or region.
  • B. regionOfAssociation
    Indicates a broader geographic or spatial area with which an entity is functionally, contextually, or organizationally associated.
  • C. regionFrom
    Indicates that something originates from, is derived from, or is associated with a particular geographic or administrative region.
  • D. allocation chosen
    Indicates the distribution or assignment of resources, responsibilities, or items among entities according to some rule or plan.
  • E. bulkRegion
    Indicates a relationship where something pertains to, occupies, or defines a primary mass or volume region of an object or space, as opposed to its surface or boundary.
  • 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_69f224b213c8819083886073f90b647e completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fe5d58c3e48190910aa3c23485e2c4 completed May 8, 2026, 10:02 p.m.
PD Predicate disambiguation batch_69fe5c92090c8190bcfa412c0a3619df completed May 8, 2026, 9:58 p.m.
Created at: April 29, 2026, 8:41 p.m.