Triple

T8091110
Position Surface form Disambiguated ID Type / Status
Subject Papendrecht E188862 entity
Predicate hasShoppingCentre P4285 FINISHED
Object De Meent
De Meent is a central shopping center in the Dutch town of Papendrecht, offering a variety of retail stores and services.
E710604 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: De Meent | Statement: [Papendrecht, hasShoppingCentre, De Meent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: De Meent
Context triple: [Papendrecht, hasShoppingCentre, De Meent]
  • A. Meent
    Meent is a tram stop on Amsterdam’s Amstelveenlijn serving the residential area of Amstelveen in the Netherlands.
  • B. Meekknoken
    Meekknoken is the highest peak on the island of Averøya in Norway, known as its most prominent natural elevation.
  • C. Heenweg
    Heenweg is a small village in the Dutch municipality of Westland in the province of South Holland, Netherlands.
  • D. Demme
    Demme is the surname of Jonathan Demme, the acclaimed American film director known for works such as "The Silence of the Lambs" and "Philadelphia."
  • E. Maeslantkering
    Maeslantkering is a massive movable storm surge barrier in the Netherlands that protects the low-lying Rotterdam region from North Sea flooding.
  • 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: De Meent
Triple: [Papendrecht, hasShoppingCentre, De Meent]
Generated description
De Meent is a central shopping center in the Dutch town of Papendrecht, offering a variety of retail stores and services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: De Meent
Target entity description: De Meent is a central shopping center in the Dutch town of Papendrecht, offering a variety of retail stores and services.
  • A. Meent
    Meent is a tram stop on Amsterdam’s Amstelveenlijn serving the residential area of Amstelveen in the Netherlands.
  • B. Meekknoken
    Meekknoken is the highest peak on the island of Averøya in Norway, known as its most prominent natural elevation.
  • C. Heenweg
    Heenweg is a small village in the Dutch municipality of Westland in the province of South Holland, Netherlands.
  • D. Demme
    Demme is the surname of Jonathan Demme, the acclaimed American film director known for works such as "The Silence of the Lambs" and "Philadelphia."
  • E. Maeslantkering
    Maeslantkering is a massive movable storm surge barrier in the Netherlands that protects the low-lying Rotterdam region from North Sea flooding.
  • 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_69ca82b7b3e88190b9041ab0ef28b3cb completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb421fb8348190b6495394d498d3f4 completed March 31, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc640dbab881908a8142ac472f3408 completed April 1, 2026, 12:17 a.m.
NEDg Description generation batch_69cc651e3b4c81908408c9f08eca8e09 completed April 1, 2026, 12:21 a.m.
NED2 Entity disambiguation (via description) batch_69cc69531a3c8190b712b3df6beefb7b completed April 1, 2026, 12:39 a.m.
Created at: March 30, 2026, 5:29 p.m.