Triple

T8833651
Position Surface form Disambiguated ID Type / Status
Subject Sozh E210207 entity
Predicate hasTributary P415 FINISHED
Object Oster E544215 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: Oster | Statement: [Sozh, hasTributary, Oster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oster
Context triple: [Sozh, hasTributary, Oster]
  • A. Oster
    Oster is a consumer appliance brand best known for its blenders, kitchen tools, and small household electronics.
  • B. Oster chosen
    Oster is a historic town in northern Ukraine, situated near the Desna River and known for its medieval origins and architectural landmarks.
  • C. Ostercappeln
    Ostercappeln is a municipality in Lower Saxony, Germany, known for its rural character and location near the city of Osnabrück.
  • D. Viktorka
    Viktorka is the popular nickname of FC Viktoria Plzeň, a professional football club from Plzeň in the Czech Republic.
  • E. Ochs
    Ochs is a surname most prominently associated with the Ochs-Sulzberger family, the longtime publishers and owners of The New York Times.
  • 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60670fa48190b2a873f6498de7f6 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf8975a6f481908ee435d0435c8ffb completed April 3, 2026, 9:33 a.m.
Created at: March 30, 2026, 6:47 p.m.