Triple

T13196754
Position Surface form Disambiguated ID Type / Status
Subject Klingenthal E314130 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object Markneukirchen E418479 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: Markneukirchen | Statement: [Klingenthal, hasNeighbouringMunicipality, Markneukirchen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Markneukirchen
Context triple: [Klingenthal, hasNeighbouringMunicipality, Markneukirchen]
  • A. Markneukirchen chosen
    Markneukirchen is a small German town in Saxony renowned for its centuries-old tradition of crafting high-quality string instruments and other musical instruments.
  • B. Markranstädt
    Markranstädt is a small town in the German state of Saxony, located near Leipzig and known for its local industry and proximity to the Kulkwitzer See recreation area.
  • C. Neukieritzsch
    Neukieritzsch is a small municipality in the German state of Saxony, situated south of Leipzig and known historically as a local railway junction.
  • D. Crimmitschau
    Crimmitschau is a town in the German state of Saxony, historically known for its textile industry and located within the broader Leipzig metropolitan area.
  • E. Schkeuditz
    Schkeuditz is a town in the German state of Saxony, situated between Leipzig and Halle and known as an important regional transport hub.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c626058819086f604b11af2d4eb completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5da6a2081909dcc9785598e1196 completed May 9, 2026, 7:44 a.m.
Created at: April 9, 2026, 9:16 p.m.