Triple

T9350289
Position Surface form Disambiguated ID Type / Status
Subject District of Bad Tölz-Wolfratshausen E224997 entity
Predicate containsMunicipality P852 FINISHED
Object Icking E778279 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: Icking | Statement: [District of Bad Tölz-Wolfratshausen, containsMunicipality, Icking]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Icking
Context triple: [District of Bad Tölz-Wolfratshausen, containsMunicipality, Icking]
  • A. Icking chosen
    Icking is a small municipality in Bavaria, Germany, known for its scenic location along the Isar River south of Munich.
  • B. Hickling
    Hickling is a village in Norfolk, England, known for its proximity to the large wetland nature reserve Hickling Broad in the Norfolk Broads.
  • C. Hickling
    Hickling is a rural village in Nottinghamshire, England, known for its scenic countryside and historic canal.
  • D. Hickling
    Hickling is the middle name of the renowned 19th-century American historian William H. Prescott, noted for his works on the Spanish Empire.
  • E. Cooties
    Cooties is a 2014 horror-comedy film about elementary school teachers fighting off a playground zombie outbreak caused by tainted chicken nuggets.
  • 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_69ca842abfd48190949d71c3b86eeba8 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f9248c08190a7bb40feec2eb217 completed April 1, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e43c31008190b542a9c5aa33f30e completed April 4, 2026, 10:13 a.m.
Created at: March 30, 2026, 7:41 p.m.