Triple

T9857790
Position Surface form Disambiguated ID Type / Status
Subject Beauvechain E239630 entity
Predicate hasSubdivision P747 FINISHED
Object Hamme-Mille
Hamme-Mille is a village in Walloon Brabant, Belgium, forming part of the municipality of Beauvechain.
E825718 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: Hamme-Mille | Statement: [Beauvechain, hasSubdivision, Hamme-Mille]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamme-Mille
Context triple: [Beauvechain, hasSubdivision, Hamme-Mille]
  • A. Hamme
    Hamme is a municipality in East Flanders, Belgium, known for its location along the Scheldt River and its blend of residential areas and natural landscapes.
  • B. Mellilä
    Mellilä was a former municipality in Southwest Finland that was incorporated into the town of Loimaa.
  • C. Milles-Lade
    Milles-Lade is an English compound surname that combines the family names Milles and Lade, typically indicating lineage or connection to both families.
  • D. Hamle
    Hamle is the eleventh month of the Ethiopian calendar, roughly corresponding to July in the Gregorian calendar.
  • E. Lomme
    Lomme is a suburban district and former commune that now forms part of the metropolitan area of Lille in northern France.
  • 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: Hamme-Mille
Triple: [Beauvechain, hasSubdivision, Hamme-Mille]
Generated description
Hamme-Mille is a village in Walloon Brabant, Belgium, forming part of the municipality of Beauvechain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hamme-Mille
Target entity description: Hamme-Mille is a village in Walloon Brabant, Belgium, forming part of the municipality of Beauvechain.
  • A. Hamme
    Hamme is a municipality in East Flanders, Belgium, known for its location along the Scheldt River and its blend of residential areas and natural landscapes.
  • B. Mellilä
    Mellilä was a former municipality in Southwest Finland that was incorporated into the town of Loimaa.
  • C. Milles-Lade
    Milles-Lade is an English compound surname that combines the family names Milles and Lade, typically indicating lineage or connection to both families.
  • D. Hamle
    Hamle is the eleventh month of the Ethiopian calendar, roughly corresponding to July in the Gregorian calendar.
  • E. Lomme
    Lomme is a suburban district and former commune that now forms part of the metropolitan area of Lille in northern France.
  • 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_69ca84e6493081909cf58c8d42ea856b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb399bd8081908281d1735cc3909f completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e43b2de881909e00f6701d1c7b54 completed April 5, 2026, 4:25 a.m.
NEDg Description generation batch_69d1e5204f748190b1f56ee5469828a2 completed April 5, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_69d1e598243481909278cb3c911ce3db completed April 5, 2026, 4:31 a.m.
Created at: March 30, 2026, 8:35 p.m.