Triple

T6708684
Position Surface form Disambiguated ID Type / Status
Subject Pinsk E153073 entity
Predicate administrativeCenterOf P383 FINISHED
Object Pinsk District E443592 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: Pinsk District | Statement: [Pinsk, administrativeCenterOf, Pinsk District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinsk District
Context triple: [Pinsk, administrativeCenterOf, Pinsk District]
  • A. Pinsk District chosen
    Pinsk District is an administrative district in the Brest Region of southwestern Belarus, centered around the city of Pinsk and known for its location in the Polesia marshland area.
  • B. Dzyarzhynsk District
    Dzyarzhynsk District is an administrative district in Belarus known for containing Dzyarzhynskaya Hara, the country’s highest point.
  • C. Brest District
    Brest District is an administrative district in southwestern Belarus that surrounds and is governed from the city of Brest.
  • D. Gomel District
    Gomel District is an administrative district in southeastern Belarus surrounding the city of Gomel.
  • E. Vitebsk Region
    Vitebsk Region is an administrative region in northeastern Belarus known for its historical cities, cultural heritage, and diverse natural landscapes.
  • 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_69c68808d8d8819087369015270788fe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1049b7c8190a970a165d15b440b completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70af6d1608190887c5d9f94ffe9fa completed March 27, 2026, 10:55 p.m.
Created at: March 27, 2026, 2:06 p.m.