Triple

T8440045
Position Surface form Disambiguated ID Type / Status
Subject Chernihiv region E199327 entity
Predicate containsCity P294 FINISHED
Object Bakhmach E544217 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: Bakhmach | Statement: [Chernihiv region, containsCity, Bakhmach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bakhmach
Context triple: [Chernihiv region, containsCity, Bakhmach]
  • A. Bakhmach chosen
    Bakhmach is a town in northern Ukraine known historically as a regional railway junction and settlement within the former Poltava Governorate of the Russian Empire.
  • B. Kislev
    Kislev is a late autumn/early winter month in the Hebrew calendar traditionally associated with the festival of Hanukkah.
  • C. Reyvroz
    Reyvroz is a small commune in the Haute-Savoie department of southeastern France, situated in the French Alps.
  • D. Oktyabrskaya
    Oktyabrskaya is a Moscow Metro station known for its distinctive Soviet-era architecture and role as a key transfer point in the city’s subway network.
  • E. Yennayer
    Yennayer is the Amazigh (Berber) New Year, a traditional North African celebration marked by cultural rituals, feasts, and community gatherings.
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe13708988190a534e38d8254c9bd completed March 31, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d9140b48190ad0c493948a3de5e completed April 2, 2026, 7:41 a.m.
Created at: March 30, 2026, 6:08 p.m.