Triple

T33214640
Position Surface form Disambiguated ID Type / Status
Subject Gronings E850254 entity
Predicate hasLocalNameForSiddeburen P24351 FINISHED
Object Siddebör’n
Siddebör’n is the Gronings dialect name for the village of Siddeburen in the province of Groningen in the Netherlands.
 E850254 NE FINISHED

How this triple was built (3 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: Siddebör’n | Statement: [Gronings, hasLocalNameForSiddeburen, Siddebör’n]
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: Siddebör’n
Triple: [Gronings, hasLocalNameForSiddeburen, Siddebör’n]
Generated description
Siddebör’n is the Gronings dialect name for the village of Siddeburen in the province of Groningen in the Netherlands.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasLocalNameForSiddeburen
Context triple: [Gronings, hasLocalNameForSiddeburen, Siddebör’n]
  • A. hasLocalNameFor chosen
    Indicates that one entity serves as the local or context-specific name or label used to refer to another entity.
  • B. hasLocalNameForRiver
    Indicates that an entity specifies the locally used name for a particular river.
  • C. hasNameInMunicipality
    Indicates that an entity is known by a particular name within the context or jurisdiction of a specific municipality.
  • D. hasNameInLocalLanguage
    Indicates that an entity is associated with a name expressed in the local or native language of a given context or region.
  • E. hasNameInBelgium
    Indicates that an entity is known or referred to by a particular name specifically within the context of Belgium.
  • F. None of above.

Provenance (6 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_69f3495fb92c819083ce65d0ddee7a76 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fe6fea4a288190bf8615c5d6bf41b4 completed May 8, 2026, 11:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a352fcd919c81909cf258fcbb0b5ee7 completed June 19, 2026, 12:02 p.m.
NEDg Description generation batch_6a3530781f548190b29ceca0c6dcf672 completed June 19, 2026, 12:05 p.m.
NED2 Entity disambiguation (via description) batch_6a35325603588190bc3f2996b913be4e completed June 19, 2026, 12:13 p.m.
PD Predicate disambiguation batch_69fe6f774de08190975a2393b9a1fd22 completed May 8, 2026, 11:19 p.m.
Created at: May 1, 2026, 1:30 a.m.