Triple

T15767188
Position Surface form Disambiguated ID Type / Status
Subject Overschie E382251 entity
Predicate contains P35 FINISHED
Object Zestienhoven
Zestienhoven is a neighborhood in the northwest of Rotterdam, Netherlands, best known for housing Rotterdam The Hague Airport.
E1176266 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: Zestienhoven | Statement: [Overschie, contains, Zestienhoven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zestienhoven
Context triple: [Overschie, contains, Zestienhoven]
  • A. Zevenhoven
    Zevenhoven is a village in the Dutch province of South Holland, located within the municipality of Nieuwkoop.
  • B. Veldhoven
    Veldhoven is a town and municipality in the southern Netherlands, located near Eindhoven in the province of North Brabant.
  • C. Zevenhuizen
    Zevenhuizen is a village in the Dutch province of Groningen, located within the municipality of Westerkwartier.
  • D. Zevenhuizen
    Zevenhuizen is a village in the Dutch province of South Holland, known for its rural character and proximity to the city of Rotterdam.
  • E. Zeevang
    Zeevang is a rural municipality in North Holland, Netherlands, characterized by its polder landscapes and traditional Dutch villages within the greater Amsterdam region.
  • 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: Zestienhoven
Triple: [Overschie, contains, Zestienhoven]
Generated description
Zestienhoven is a neighborhood in the northwest of Rotterdam, Netherlands, best known for housing Rotterdam The Hague Airport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zestienhoven
Target entity description: Zestienhoven is a neighborhood in the northwest of Rotterdam, Netherlands, best known for housing Rotterdam The Hague Airport.
  • A. Zevenhoven
    Zevenhoven is a village in the Dutch province of South Holland, located within the municipality of Nieuwkoop.
  • B. Veldhoven
    Veldhoven is a town and municipality in the southern Netherlands, located near Eindhoven in the province of North Brabant.
  • C. Zevenhuizen
    Zevenhuizen is a village in the Dutch province of Groningen, located within the municipality of Westerkwartier.
  • D. Zevenhuizen
    Zevenhuizen is a village in the Dutch province of South Holland, known for its rural character and proximity to the city of Rotterdam.
  • E. Zeevang
    Zeevang is a rural municipality in North Holland, Netherlands, characterized by its polder landscapes and traditional Dutch villages within the greater Amsterdam region.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e051951bac8190a7d45f3612c6de72 completed April 16, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9099335c8190b6f0fb336b3dc212 completed May 9, 2026, 7:52 p.m.
NEDg Description generation batch_69ff93463d348190bd2c4cbd58bb2154 completed May 9, 2026, 8:04 p.m.
NED2 Entity disambiguation (via description) batch_69ff93b6321c8190baaee806dca1f73c completed May 9, 2026, 8:06 p.m.
Created at: April 10, 2026, 4:47 a.m.