Triple

T8268977
Position Surface form Disambiguated ID Type / Status
Subject Manevychi E193372 entity
Predicate hasOfficialName P66 FINISHED
Object Маневичі E193372 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: Маневичі | Statement: [Manevychi, hasOfficialName, Маневичі]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Маневичі
Context triple: [Manevychi, hasOfficialName, Маневичі]
  • A. Manevychi chosen
    Manevychi is a small urban-type settlement in northwestern Ukraine, situated within Volyn Oblast and known for its surrounding forests and lakes.
  • B. Yurievichi
    Yurievichi is a cadet branch of the medieval Rurikid ruling family that descended from Prince Yuri and governed various principalities in Kievan Rus’ and its successor states.
  • C. Lokhvytsia
    Lokhvytsia is a town in central Ukraine, historically part of the Poltava region and known for its role in regional trade and agriculture.
  • D. Krasnystaw
    Krasnystaw is a town in eastern Poland known for its agricultural surroundings and annual Chmielaki beer and hops festival.
  • E. Dzyarzhynsk
    Dzyarzhynsk is a town in Belarus known for its proximity to Dzyarzhynskaya Hara, the country’s highest point.
  • 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_69ca82e081d48190986beaa51f498ab9 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb795127ac81908196008f5579f83f completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd683d04e081908b0ce81e866f0311 completed April 1, 2026, 6:47 p.m.
Created at: March 30, 2026, 5:50 p.m.