Triple

T20701813
Position Surface form Disambiguated ID Type / Status
Subject Hirsch E508802 entity
Predicate hasCognate P2525 FINISHED
Object Hirschberg 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: Hirschberg | Statement: [Hirsch, hasCognate, Hirschberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hirschberg
Context triple: [Hirsch, hasCognate, Hirschberg]
  • A. Hirschberg chosen
    Hirschberg is the former German name for the city now known as Jelenia Góra in southwestern Poland, a historic town in the Lower Silesia region.
  • B. Hirschberg
    Hirschberg is a hill in Germany’s Siebengebirge range, known for its forested slopes and hiking trails within this volcanic low-mountain landscape.
  • C. Hirschstein
    Hirschstein is a small municipality in the German state of Saxony, situated within the broader Leipzig metropolitan region.
  • D. Scheinberg
    Scheinberg is a mountain peak in the Steigerwald range of Germany, known as its highest point.
  • E. Schatzberg
    Schatzberg is a surname most notably associated with Jerry Schatzberg, an American photographer and film director known for works like "Panic in Needle Park" and "Scarecrow."
  • 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_69e0b4c2b2a481909e31e9cb8f81ab55 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c18bfac08190bf80beeb3ce1951a completed April 21, 2026, 12:15 a.m.
Created at: April 16, 2026, 12:12 p.m.