Triple

T9935405
Position Surface form Disambiguated ID Type / Status
Subject Amel E192746 entity
Predicate hasSettlement P1068 FINISHED
Object Hepscheid
Hepscheid is a small village that forms part of the municipality of Amel in the German-speaking Community of eastern Belgium.
E832831 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: Hepscheid | Statement: [Amel, hasSettlement, Hepscheid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hepscheid
Context triple: [Amel, hasSettlement, Hepscheid]
  • A. Hohne
    Hohne is a village in Lower Saxony, Germany, historically notable for its military garrison and association with British Army units.
  • B. Heiderhof
    Heiderhof is a residential subdistrict of the Bonn borough Bad Godesberg in western Germany.
  • C. Hainichen
    Hainichen is a small town in the Free State of Saxony in eastern Germany, known for its historical architecture and location between the cities of Chemnitz and Dresden.
  • D. Hethel
    Hethel is a small rural village in Norfolk, England, best known today as the home of the Lotus Cars headquarters and test track.
  • E. Heidenfeld
    Heidenfeld is a village in Bavaria, Germany, known as the birthplace of Cardinal Michael von Faulhaber.
  • 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: Hepscheid
Triple: [Amel, hasSettlement, Hepscheid]
Generated description
Hepscheid is a small village that forms part of the municipality of Amel in the German-speaking Community of eastern Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hepscheid
Target entity description: Hepscheid is a small village that forms part of the municipality of Amel in the German-speaking Community of eastern Belgium.
  • A. Hohne
    Hohne is a village in Lower Saxony, Germany, historically notable for its military garrison and association with British Army units.
  • B. Heiderhof
    Heiderhof is a residential subdistrict of the Bonn borough Bad Godesberg in western Germany.
  • C. Hainichen
    Hainichen is a small town in the Free State of Saxony in eastern Germany, known for its historical architecture and location between the cities of Chemnitz and Dresden.
  • D. Hethel
    Hethel is a small rural village in Norfolk, England, best known today as the home of the Lotus Cars headquarters and test track.
  • E. Heidenfeld
    Heidenfeld is a village in Bavaria, Germany, known as the birthplace of Cardinal Michael von Faulhaber.
  • 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_69ca82dd978c8190947124ab0d3315ac completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5e263208190b6ea8b8b4e29805d completed April 2, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d4528108190b38111bb36832a67 completed April 5, 2026, 10:45 a.m.
NEDg Description generation batch_69d23eb1c1f481908404225dcccd0697 completed April 5, 2026, 10:51 a.m.
NED2 Entity disambiguation (via description) batch_69d242aea6a08190a73a836e59865c35 completed April 5, 2026, 11:08 a.m.
Created at: March 30, 2026, 8:44 p.m.