Triple

T12682404
Position Surface form Disambiguated ID Type / Status
Subject Kerzers E302978 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Ulmiz
Ulmiz is a small municipality in the canton of Fribourg in western Switzerland.
E997757 NE FINISHED

How this triple was built (4 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: Ulmiz | Statement: [Kerzers, hasNeighboringMunicipality, Ulmiz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ulmiz
Context triple: [Kerzers, hasNeighboringMunicipality, Ulmiz]
  • A. Uzgen
    Uzgen is an ancient city in present-day Kyrgyzstan, historically significant as a major political and cultural center along the Silk Road and a former capital of the Kara-Khanid Khanate.
  • B. Uherka
    Uherka is a river in eastern Poland that serves as a tributary of the Western Bug, flowing through the Lublin region.
  • C. Ulrichen
    Ulrichen is a small alpine village in the Swiss canton of Valais, known for its scenic mountain landscape and outdoor recreation opportunities.
  • D. Umetić
    Umetić is a village in central Croatia, historically notable as the birthplace of Austro-Hungarian field marshal Svetozar Boroević.
  • E. Gorcumer
    A Gorcumer is a resident or native of the Dutch city of Gorinchem.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ulmiz
Triple: [Kerzers, hasNeighboringMunicipality, Ulmiz]
Generated description
Ulmiz is a small municipality in the canton of Fribourg in western Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ulmiz
Target entity description: Ulmiz is a small municipality in the canton of Fribourg in western Switzerland.
  • A. Uzgen
    Uzgen is an ancient city in present-day Kyrgyzstan, historically significant as a major political and cultural center along the Silk Road and a former capital of the Kara-Khanid Khanate.
  • B. Uherka
    Uherka is a river in eastern Poland that serves as a tributary of the Western Bug, flowing through the Lublin region.
  • C. Ulrichen
    Ulrichen is a small alpine village in the Swiss canton of Valais, known for its scenic mountain landscape and outdoor recreation opportunities.
  • D. Umetić
    Umetić is a village in central Croatia, historically notable as the birthplace of Austro-Hungarian field marshal Svetozar Boroević.
  • E. Gorcumer
    A Gorcumer is a resident or native of the Dutch city of Gorinchem.
  • F. None of above. chosen

Provenance (5 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961d68358819095bdaab8adf1dcf0 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671a733a48190b55d296573c86eaf completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f67285019c8190be831d3f72cf121f completed May 2, 2026, 9:54 p.m.
NED2 Entity disambiguation (via description) batch_69f6732ea7408190a95f0a5f983dfdb7 completed May 2, 2026, 9:57 p.m.
Created at: April 9, 2026, 5:21 p.m.