Triple

T19809820
Position Surface form Disambiguated ID Type / Status
Subject Overholt E475912 entity
Predicate hasVariant P455 FINISHED
Object Oberholzer 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: Oberholzer | Statement: [Overholt, hasVariant, Oberholzer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oberholzer
Context triple: [Overholt, hasVariant, Oberholzer]
  • A. Oberholzer chosen
    Oberholzer is a surname of Germanic origin, commonly found in German-speaking regions and among their diasporas.
  • B. Eickeloh
    Eickeloh is a small municipality in Lower Saxony, Germany, situated in the Heidekreis district.
  • C. Osterfeld
    Osterfeld is a small town in the German state of Saxony-Anhalt that lies within the broader Leipzig metropolitan region.
  • D. Hollenbach
    Hollenbach is a small municipality in the district of Aichach-Friedberg in the Bavarian region of Germany.
  • E. Klier
    Klier is a surname of German origin borne by various notable individuals across fields such as sports, arts, and academia.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6542ac1b48190a0cb69dbceca74da completed April 20, 2026, 4:28 p.m.
Created at: April 10, 2026, 1:50 p.m.