Triple

T20044828
Position Surface form Disambiguated ID Type / Status
Subject Illnau-Effretikon E497530 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Kyburg NE NERFINISHED

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: Kyburg | Statement: [Illnau-Effretikon, neighboringMunicipality, Kyburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyburg
Context triple: [Illnau-Effretikon, neighboringMunicipality, Kyburg]
  • A. Kyburg chosen
    Kyburg is a historic village in the canton of Zurich, Switzerland, best known for its well-preserved medieval Kyburg Castle overlooking the Töss Valley.
  • B. Brannenburg
    Brannenburg is a Bavarian municipality in southern Germany, known for its scenic Alpine setting and outdoor recreation opportunities.
  • C. Kummerfeld
    Kummerfeld is a small municipality in northern Germany, located in the district of Pinneberg in the state of Schleswig-Holstein.
  • D. Balkhausen
    Balkhausen is a district within the town of Kerpen in North Rhine-Westphalia, Germany.
  • E. Tettenweis
    Tettenweis is a small Bavarian village in Germany known as the birthplace of the Symbolist painter Franz von Stuck.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662eea09481908d1001165e9d719c completed April 20, 2026, 5:31 p.m.
Created at: April 11, 2026, 3:37 p.m.