Triple

T9164251
Position Surface form Disambiguated ID Type / Status
Subject Weißenfels district E219906 entity
Predicate borderedBy P224 FINISHED
Object Zeitz district 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 district | Statement: [Weißenfels district, borderedBy, Zeitz district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zeitz district
Context triple: [Weißenfels district, borderedBy, Zeitz district]
  • 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. Prazeres district
    Prazeres district is an urban neighborhood and administrative area within the coastal city of Jaboatão dos Guararapes in the state of Pernambuco, Brazil.
  • C. Mitte district
    Mitte district is a central borough of Berlin known for its historic landmarks, government buildings, and cultural institutions.
  • D. Parchim district
    Parchim district was a former administrative district in the state of Mecklenburg-Vorpommern in northern Germany, characterized by its rural landscape, small towns, and numerous rivers and lakes.
  • E. Harburg district
    Harburg district is a rural administrative district in Lower Saxony, Germany, located south of Hamburg and known for its mix of agricultural areas, forests, and commuter towns.
  • 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_69ca83e3633c81908688a9fa2306ba99 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaa2ee64c8190a9a5abafe5d0b086 completed April 1, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0547df750819095853f21cf740c63 completed April 3, 2026, 11:59 p.m.
Created at: March 30, 2026, 7:21 p.m.