Triple

T10130026
Position Surface form Disambiguated ID Type / Status
Subject Markkleeberg E226311 entity
Predicate adjacentTo P224 FINISHED
Object Zwenkau E190257 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: Zwenkau | Statement: [Markkleeberg, adjacentTo, Zwenkau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zwenkau
Context triple: [Markkleeberg, adjacentTo, Zwenkau]
  • A. Zwenkau chosen
    Zwenkau is a small town in the Free State of Saxony in eastern Germany, situated near Leipzig and known for its proximity to former lignite mining areas now being transformed into lake landscapes.
  • B. Witellikon
    Witellikon is a small settlement within the municipality of Küsnacht in the canton of Zürich, Switzerland, situated along the shores of Lake Zurich.
  • C. Schnaittach
    Schnaittach is a river in Bavaria, Germany, that serves as a tributary of the Pegnitz River.
  • D. Lunzenau
    Lunzenau is a small town in the German state of Saxony, known for its location along the Zwickauer Mulde river and its historic architecture.
  • E. Seckbach
    Seckbach is a district in the east of Frankfurt am Main, Germany, known for its residential character and proximity to green spaces like the Lohrberg.
  • 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd33438988190be45878f98695816 completed April 2, 2026, 2:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e5ce3fcc8190b1d07dbba34d6bff completed April 5, 2026, 10:44 p.m.
Created at: March 30, 2026, 9:05 p.m.