Triple

T5747320
Position Surface form Disambiguated ID Type / Status
Subject Poltava Governorate E126766 entity
Predicate followedBy P78 FINISHED
Object Sumy Oblast E306986 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: Sumy Oblast | Statement: [Poltava Governorate, followedBy, Sumy Oblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sumy Oblast
Context triple: [Poltava Governorate, followedBy, Sumy Oblast]
  • A. Sumy Oblast chosen
    Sumy Oblast is an administrative region in northeastern Ukraine known for its agricultural landscape, industrial centers, and border with Russia.
  • B. Ternopil Oblast
    Ternopil Oblast is an administrative region in western Ukraine known for its historic cities, castles, and predominantly agricultural landscape.
  • C. Khmelnytskyi Oblast
    Khmelnytskyi Oblast is an administrative region in western Ukraine known for its agricultural economy, historical towns, and location along important transport routes.
  • D. Ivano-Frankivsk Oblast
    Ivano-Frankivsk Oblast is an administrative region in western Ukraine known for its Carpathian Mountain landscapes, rich Hutsul culture, and historical cities.
  • E. Vinnytsia Oblast
    Vinnytsia Oblast is an administrative region in central Ukraine known for its agricultural economy, historical cities, and role as a key transportation hub.
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02885b0288190835809681a364b1f completed March 22, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bf9968d881908ef4065d1d13b2b8 completed March 23, 2026, 4:20 a.m.
Created at: March 22, 2026, 3:48 p.m.