Triple

T6487788
Position Surface form Disambiguated ID Type / Status
Subject Beuel E146557 entity
Predicate hasPart P35 FINISHED
Object Holzlar
Holzlar is a district of Bonn in the borough of Beuel, known for its residential character and proximity to natural areas such as the Ennert forest.
 E595682 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: Holzlar | Statement: [Beuel, hasPart, Holzlar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Holzlar
Context triple: [Beuel, hasPart, Holzlar]
  • A. Emigholz
    Emigholz is a German surname most notably associated with filmmaker and artist Heinz Emigholz.
  • B. Riedholz
    Riedholz is a small Swiss municipality located in the canton of Solothurn.
  • C. Kestenholz
    Kestenholz is a municipality in the canton of Solothurn in Switzerland, located in the Gäu district.
  • D. Hohne
    Hohne is a village in Lower Saxony, Germany, historically notable for its military garrison and association with British Army units.
  • E. Lochau
    Lochau is a locality in Germany historically noted as the place where the influential Reformation-era prince Frederick the Wise died.
  • 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: Holzlar
Triple: [Beuel, hasPart, Holzlar]
Generated description
Holzlar is a district of Bonn in the borough of Beuel, known for its residential character and proximity to natural areas such as the Ennert forest.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Holzlar
Target entity description: Holzlar is a district of Bonn in the borough of Beuel, known for its residential character and proximity to natural areas such as the Ennert forest.
  • A. Emigholz
    Emigholz is a German surname most notably associated with filmmaker and artist Heinz Emigholz.
  • B. Riedholz
    Riedholz is a small Swiss municipality located in the canton of Solothurn.
  • C. Kestenholz
    Kestenholz is a municipality in the canton of Solothurn in Switzerland, located in the Gäu district.
  • D. Hohne
    Hohne is a village in Lower Saxony, Germany, historically notable for its military garrison and association with British Army units.
  • E. Lochau
    Lochau is a locality in Germany historically noted as the place where the influential Reformation-era prince Frederick the Wise died.
  • 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_69c0090158c08190af0df9a2348d2d52 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a96a4048190a28dee5fd9258486 completed March 22, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653b792f48190b301cdc643db8ddf completed March 27, 2026, 9:53 a.m.
NEDg Description generation batch_69c6545575788190acb374fcdb7f5edf completed March 27, 2026, 9:56 a.m.
NED2 Entity disambiguation (via description) batch_69c654c0cdf88190994217223fb2f77a completed March 27, 2026, 9:58 a.m.
Created at: March 22, 2026, 4:52 p.m.