Triple

T18363765
Position Surface form Disambiguated ID Type / Status
Subject Passirio E439986 entity
Predicate hasNameInLanguage P15 FINISHED
Object Passer (German) 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: Passer (German) | Statement: [Passirio, hasNameInLanguage, Passer (German)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Passer (German)
Context triple: [Passirio, hasNameInLanguage, Passer (German)]
  • A. Passer chosen
    Passer is a genus of small, seed-eating passerine birds that includes the well-known house sparrow and related species commonly found in urban and rural areas worldwide.
  • B. Schier (German)
    Schier is the German name for the Chiers, a river in Western Europe that flows through Belgium, Luxembourg, and France.
  • C. Enz (German)
    Enz (German) is the German name for the Enz River, a tributary of the Neckar flowing through the city of Pforzheim in southwestern Germany.
  • D. Hufschlag
    Hufschlag is a small district of Traunstein in Bavaria, Germany, known as part of the rural setting where Pope Benedict XVI (Joseph Ratzinger) spent part of his childhood.
  • E. Friesack
    Friesack is a small town and municipality in the Havelland district of Brandenburg, Germany, known for its rural character and historical significance.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e516de778c8190a75335ced4e1f834 completed April 19, 2026, 5:54 p.m.
Created at: April 10, 2026, 10:37 a.m.