Triple

T16972851
Position Surface form Disambiguated ID Type / Status
Subject Svatava E411729 entity
Predicate hasLeftTributary P415 FINISHED
Object Rotava E1202547 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: Rotava | Statement: [Svatava, hasLeftTributary, Rotava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rotava
Context triple: [Svatava, hasLeftTributary, Rotava]
  • A. Rotava chosen
    Rotava is a small industrial town in the Karlovy Vary Region of the Czech Republic, historically associated with mining and glassmaking.
  • B. Veleslavín
    Veleslavín is a residential district in the northwestern part of Prague known for its transport connections and proximity to green areas.
  • C. Vandjala
    Vandjala is a small village in northern Estonia located within Harku Parish in Harju County.
  • D. Verchota
    Verchota is a surname most notably associated with Phil Verchota, an American ice hockey player and member of the 1980 "Miracle on Ice" U.S. Olympic team.
  • E. Rostaelva
    Rostaelva is a river in Norway that serves as one of the tributaries feeding into the larger Målselva watercourse.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0ae47f08190a13e98d20aba7f16 completed April 18, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d4738fbc819099e8281ebc777091 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.