Triple

T4426947
Position Surface form Disambiguated ID Type / Status
Subject Westerwolde E95231 entity
Predicate contains P35 FINISHED
Object Ter Apel
Ter Apel is a village in the Dutch province of Groningen, known for its historic medieval monastery and as the site of a major national asylum seekers' center.
E438440 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: Ter Apel | Statement: [Westerwolde, contains, Ter Apel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ter Apel
Context triple: [Westerwolde, contains, Ter Apel]
  • A. De Aardappeleters
    De Aardappeleters is a famous early painting by Vincent van Gogh depicting a group of peasants sharing a humble meal of potatoes in a dimly lit interior.
  • B. De Kwakel
    De Kwakel is a small village in the Dutch province of North Holland, known for its rural character and proximity to the town of Uithoorn.
  • C. Kızıl Elma
    Kızıl Elma is a seminal poetic work by Turkish nationalist thinker Ziya Gökalp that articulates his vision of Turkish identity, unity, and idealism.
  • D. Veermansplaat
    Veermansplaat is a small, uninhabited island and nature area located in the Grevelingen estuary in the southwestern Netherlands.
  • E. De Akkers
    De Akkers is a metro station in Spijkenisse, Netherlands, serving as a terminus on the Rotterdam Metro network.
  • 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: Ter Apel
Triple: [Westerwolde, contains, Ter Apel]
Generated description
Ter Apel is a village in the Dutch province of Groningen, known for its historic medieval monastery and as the site of a major national asylum seekers' center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ter Apel
Target entity description: Ter Apel is a village in the Dutch province of Groningen, known for its historic medieval monastery and as the site of a major national asylum seekers' center.
  • A. De Aardappeleters
    De Aardappeleters is a famous early painting by Vincent van Gogh depicting a group of peasants sharing a humble meal of potatoes in a dimly lit interior.
  • B. De Kwakel
    De Kwakel is a small village in the Dutch province of North Holland, known for its rural character and proximity to the town of Uithoorn.
  • C. Kızıl Elma
    Kızıl Elma is a seminal poetic work by Turkish nationalist thinker Ziya Gökalp that articulates his vision of Turkish identity, unity, and idealism.
  • D. Veermansplaat
    Veermansplaat is a small, uninhabited island and nature area located in the Grevelingen estuary in the southwestern Netherlands.
  • E. De Akkers
    De Akkers is a metro station in Spijkenisse, Netherlands, serving as a terminus on the Rotterdam Metro network.
  • 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3554fb28081909018eaecc0c5c230 completed March 13, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f633a69c8190b062c2a78b0f8319 completed March 14, 2026, 11:58 p.m.
NEDg Description generation batch_69b5f6bcfa0481909d07ffb2a975a350 completed March 15, 2026, 12:01 a.m.
NED2 Entity disambiguation (via description) batch_69b5f733c660819081c68dc3ec342e12 completed March 15, 2026, 12:02 a.m.
Created at: March 12, 2026, 11:30 p.m.