Triple

T5952235
Position Surface form Disambiguated ID Type / Status
Subject Assen E132426 entity
Predicate hasSubdivision P747 FINISHED
Object Pittelo
Pittelo is a residential neighborhood and district within the city of Assen in the province of Drenthe, Netherlands.
E557903 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: Pittelo | Statement: [Assen, hasSubdivision, Pittelo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pittelo
Context triple: [Assen, hasSubdivision, Pittelo]
  • A. Pertteli
    Pertteli was a former municipality in southwestern Finland that is now part of the city of Salo.
  • B. Muurla
    Muurla was a former municipality in Finland that later became part of the city of Salo.
  • C. Pöytyä
    Pöytyä is a rural municipality in southwestern Finland known for its forests, agriculture, and small village communities.
  • D. Särkisalo
    Särkisalo is a former coastal municipality in Southwest Finland, known for its archipelago landscape and later incorporation into the city of Salo.
  • E. Penteli
    Penteli is a suburban town and mountainous area in the northern part of the Athens metropolitan region in Greece, known for its marble quarries and natural landscapes.
  • 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: Pittelo
Triple: [Assen, hasSubdivision, Pittelo]
Generated description
Pittelo is a residential neighborhood and district within the city of Assen in the province of Drenthe, Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pittelo
Target entity description: Pittelo is a residential neighborhood and district within the city of Assen in the province of Drenthe, Netherlands.
  • A. Pertteli
    Pertteli was a former municipality in southwestern Finland that is now part of the city of Salo.
  • B. Muurla
    Muurla was a former municipality in Finland that later became part of the city of Salo.
  • C. Pöytyä
    Pöytyä is a rural municipality in southwestern Finland known for its forests, agriculture, and small village communities.
  • D. Särkisalo
    Särkisalo is a former coastal municipality in Southwest Finland, known for its archipelago landscape and later incorporation into the city of Salo.
  • E. Penteli
    Penteli is a suburban town and mountainous area in the northern part of the Athens metropolitan region in Greece, known for its marble quarries and natural landscapes.
  • 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03983b8848190afaa37f35c95bad6 completed March 22, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3d1801c819093dc43dc5a525796 completed March 23, 2026, 6:55 a.m.
NEDg Description generation batch_69c0e781af588190a8f5572a03b24822 completed March 23, 2026, 7:10 a.m.
NED2 Entity disambiguation (via description) batch_69c0e7f767f8819086026b95c4534733 completed March 23, 2026, 7:12 a.m.
Created at: March 22, 2026, 4:02 p.m.