Triple

T6860041
Position Surface form Disambiguated ID Type / Status
Subject Noordenveld E158251 entity
Predicate hasVillage P4011 FINISHED
Object Peize
Peize is a village in the Dutch province of Drenthe, known for its rural character and location within the municipality of Noordenveld.
 E626186 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: Peize | Statement: [Noordenveld, hasVillage, Peize]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peize
Context triple: [Noordenveld, hasVillage, Peize]
  • A. Peseux
    Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
  • B. Patouès
    Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
  • C. Yssingeaux
    Yssingeaux is a commune in south-central France that serves as an administrative and service center in the Haute-Loire department.
  • D. Tournus
    Tournus is a historic town in eastern France’s Burgundy region, known for its Romanesque abbey and riverside setting along the Saône.
  • E. Montauban
    Montauban is a historic city in southern France known for its red-brick architecture and role as the capital of the Tarn-et-Garonne department.
  • 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: Peize
Triple: [Noordenveld, hasVillage, Peize]
Generated description
Peize is a village in the Dutch province of Drenthe, known for its rural character and location within the municipality of Noordenveld.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peize
Target entity description: Peize is a village in the Dutch province of Drenthe, known for its rural character and location within the municipality of Noordenveld.
  • A. Peseux
    Peseux is a former municipality in the canton of Neuchâtel in western Switzerland, now part of the city of Neuchâtel.
  • B. Patouès
    Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
  • C. Yssingeaux
    Yssingeaux is a commune in south-central France that serves as an administrative and service center in the Haute-Loire department.
  • D. Tournus
    Tournus is a historic town in eastern France’s Burgundy region, known for its Romanesque abbey and riverside setting along the Saône.
  • E. Montauban
    Montauban is a historic city in southern France known for its red-brick architecture and role as the capital of the Tarn-et-Garonne department.
  • 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_69c68830cdbc8190a8301c7a9d9f651a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8737fac81909fc546ca2bf6a278 completed March 27, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c74283a6e0819090366d8d677ed4fa completed March 28, 2026, 2:52 a.m.
NEDg Description generation batch_69c742fdbd888190bc5b5ec5e2cbcd6a completed March 28, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69c7436b4aa08190aa5bb222c3c45fa9 completed March 28, 2026, 2:56 a.m.
Created at: March 27, 2026, 2:21 p.m.