Triple

T20668372
Position Surface form Disambiguated ID Type / Status
Subject Goitzsche lake E507951 entity
Predicate locatedNear P294 FINISHED
Object Pouch 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: Pouch | Statement: [Goitzsche lake, locatedNear, Pouch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pouch
Context triple: [Goitzsche lake, locatedNear, Pouch]
  • A. Pouch chosen
    Pouch is a small settlement in Saxony-Anhalt, Germany, known for its proximity to the Goitzsche landscape park and the surrounding lake district.
  • B. Pockets
    Pockets is a music producer known for contributing to Mos Def’s influential hip-hop album "Black on Both Sides."
  • C. The Pocket
    The Pocket is a small rural locality in the Byron Shire region of northern New South Wales, Australia, known for its lush hinterland setting near the coast.
  • D. Stringbag
    Stringbag was the affectionate nickname given to the British Fairey Swordfish biplane torpedo bomber, renowned for its outdated appearance yet remarkable effectiveness in World War II naval operations.
  • E. Bolso
    Bolso is the popular nickname of Club Nacional de Football, one of Uruguay’s most historic and successful football clubs.
  • 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c4c4608190ae17da4a59e5ae80 completed April 20, 2026, 11:24 p.m.
Created at: April 16, 2026, 11:44 a.m.