Triple

T20838728
Position Surface form Disambiguated ID Type / Status
Subject Świna River E513030 entity
Predicate hasNameInGerman P22792 FINISHED
Object Swine NE NERFINISHED

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: Swine | Statement: [Świna River, hasNameInGerman, Swine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swine
Context triple: [Świna River, hasNameInGerman, Swine]
  • A. Świna chosen
    Świna is a strait in the Baltic Sea region that connects the Szczecin Lagoon with the Pomeranian Bay, separating parts of the islands of Usedom and Wolin in northwestern Poland.
  • B. Sus scrofa
    Sus scrofa is the wild boar, a widespread Eurasian mammal that is the wild ancestor of the domestic pig.
  • C. Pig
    Pig is a 2021 neo-noir drama film starring Nicolas Cage as a reclusive truffle hunter searching for his stolen foraging pig.
  • D. Pig
    "Pig" is a song by the Dave Matthews Band from their 1998 album *Before These Crowded Streets*, known for its intricate arrangement and reflective, life-affirming lyrics.
  • E. Pigs
    Pigs is a 1973 American horror film, also known as Daddy’s Deadly Darling, about a disturbed young woman and a pig farmer who feed human corpses to his pigs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c32928788190be8ca57923eefd7e completed April 21, 2026, 12:22 a.m.
Created at: April 16, 2026, 12:42 p.m.