Triple

T5734574
Position Surface form Disambiguated ID Type / Status
Subject Merseburg, East Germany E126468 entity
Predicate locatedIn P40 FINISHED
Object Bezirk Halle E143233 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: Bezirk Halle | Statement: [Merseburg, East Germany, locatedIn, Bezirk Halle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bezirk Halle
Context triple: [Merseburg, East Germany, locatedIn, Bezirk Halle]
  • A. Bezirk Halle chosen
    Bezirk Halle was an administrative district of the former East Germany, centered around the city of Halle and functioning as a key regional unit during the GDR era.
  • B. Bezirk Gera
    Bezirk Gera was an administrative district of the former East Germany, centered around the city of Gera in the state of Thuringia.
  • C. Bezirk Suhl
    Bezirk Suhl was an administrative district in the former East Germany, located in the southern part of the country and known for its mountainous Thuringian landscape and industrial centers.
  • D. Bezirk Erfurt
    Bezirk Erfurt was an administrative district of the former East Germany centered around the city of Erfurt and existing from the 1952 territorial reform until German reunification in 1990.
  • E. Bezirk Leipzig
    Bezirk Leipzig was an administrative district in the former East Germany centered around the city of Leipzig.
  • 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_69c0083082288190b7478cead6b5430a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02536706c8190a69665b75c8a38e9 completed March 22, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1605f808190a45359e213354799 completed March 23, 2026, 2:11 a.m.
Created at: March 22, 2026, 3:47 p.m.