Triple

T2823117
Position Surface form Disambiguated ID Type / Status
Subject Anna Magdalena Bach E54855 entity
Predicate placeOfBirth P1 FINISHED
Object Zeitz E189696 NE FINISHED

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: Zeitz | Statement: [Anna Magdalena Bach, placeOfBirth, Zeitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zeitz
Context triple: [Anna Magdalena Bach, placeOfBirth, Zeitz]
  • A. Zeitz chosen
    Zeitz is a historic town in the German state of Saxony-Anhalt, known for its former ducal residence, cathedral, and role as a regional cultural and economic center.
  • B. Egoli
    Egoli is a common nickname for Johannesburg, South Africa’s major economic hub often referred to as the "City of Gold."
  • C. Ulundi
    Ulundi is a historic town in KwaZulu-Natal, South Africa, best known as the former royal and political center of the Zulu Kingdom and the site of key events in the Anglo-Zulu War.
  • D. Graskop
    Graskop is a small tourist town in northeastern South Africa known as a gateway to the Panorama Route and nearby natural attractions like waterfalls and the Blyde River Canyon.
  • E. Lichtstad
    Lichtstad is the Dutch nickname for the city of Eindhoven, reflecting its historic association with the lighting industry and companies like Philips.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde71fdc08190b18660261fe24adf completed March 7, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69afceaa45e88190a9007885cf7868ef completed March 10, 2026, 7:56 a.m.
Created at: March 6, 2026, 9:59 p.m.