Triple

T10634443
Position Surface form Disambiguated ID Type / Status
Subject Bergkamen E250540 entity
Predicate formedByMergerOf P77 FINISHED
Object Heil
Heil is a former municipality in Germany that was incorporated into the town of Bergkamen through an administrative merger.
 E876459 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: Heil | Statement: [Bergkamen, formedByMergerOf, Heil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Heil
Context triple: [Bergkamen, formedByMergerOf, Heil]
  • A. Hein
    Hein is a Dutch surname most notably borne by Piet Hein, a renowned 17th-century naval officer and folk hero of the Dutch Republic.
  • B. Hille
    Hille is a surname and place name that appears as a variant form of "Hill" in certain linguistic or regional contexts.
  • C. Hansi
    Hansi is a historic town in the Hisar district of Haryana, India, known for its ancient forts and archaeological significance.
  • D. Heriz
    Heriz is a renowned carpet-weaving region in northwestern Iran, famous for its durable hand-knotted rugs featuring bold geometric medallion designs.
  • E. Holtriem
    Holtriem is a rural region in East Frisia in northwestern Germany, known for its small villages, low-lying landscapes, and proximity to the North Sea coast.
  • 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: Heil
Triple: [Bergkamen, formedByMergerOf, Heil]
Generated description
Heil is a former municipality in Germany that was incorporated into the town of Bergkamen through an administrative merger.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Heil
Target entity description: Heil is a former municipality in Germany that was incorporated into the town of Bergkamen through an administrative merger.
  • A. Hein
    Hein is a Dutch surname most notably borne by Piet Hein, a renowned 17th-century naval officer and folk hero of the Dutch Republic.
  • B. Hille
    Hille is a surname and place name that appears as a variant form of "Hill" in certain linguistic or regional contexts.
  • C. Hansi
    Hansi is a historic town in the Hisar district of Haryana, India, known for its ancient forts and archaeological significance.
  • D. Heriz
    Heriz is a renowned carpet-weaving region in northwestern Iran, famous for its durable hand-knotted rugs featuring bold geometric medallion designs.
  • E. Holtriem
    Holtriem is a rural region in East Frisia in northwestern Germany, known for its small villages, low-lying landscapes, and proximity to the North Sea coast.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfab47bc819086684edc1b6dce74 completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96bbd64d8819089d55af875d39e45 completed April 10, 2026, 9:29 p.m.
NEDg Description generation batch_69d9701de92881908c0b8f05eae97e35 completed April 10, 2026, 9:48 p.m.
NED2 Entity disambiguation (via description) batch_69d970f3f78081909bcb2dae6dae06d5 completed April 10, 2026, 9:51 p.m.
Created at: April 8, 2026, 9:03 p.m.