Triple

T7263934
Position Surface form Disambiguated ID Type / Status
Subject Office for Metropolitan Architecture E159722 entity
Predicate notableWork P4 FINISHED
Object Timmerhuis
Timmerhuis is a mixed-use, modular glass-and-steel building in Rotterdam known for its stacked, pixelated form and sustainable design.
E652485 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: Timmerhuis | Statement: [Office for Metropolitan Architecture, notableWork, Timmerhuis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timmerhuis
Context triple: [Office for Metropolitan Architecture, notableWork, Timmerhuis]
  • A. Begijnhof
    Begijnhof is a historic, secluded courtyard in central Amsterdam known for its preserved medieval houses and former beguine community.
  • B. Teylingen
    Teylingen is a municipality in the Dutch province of South Holland, known for its historic estates and proximity to the bulb-growing region.
  • C. Vijfhuizen
    Vijfhuizen is a village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer near Haarlem.
  • D. Molenwaard
    Molenwaard was a former municipality in the Dutch province of South Holland that later became part of the newly formed municipality of Molenlanden.
  • E. Nieuwenhoorn
    Nieuwenhoorn is a village in the western Netherlands that forms part of the province of South Holland.
  • 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: Timmerhuis
Triple: [Office for Metropolitan Architecture, notableWork, Timmerhuis]
Generated description
Timmerhuis is a mixed-use, modular glass-and-steel building in Rotterdam known for its stacked, pixelated form and sustainable design.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Timmerhuis
Target entity description: Timmerhuis is a mixed-use, modular glass-and-steel building in Rotterdam known for its stacked, pixelated form and sustainable design.
  • A. Begijnhof
    Begijnhof is a historic, secluded courtyard in central Amsterdam known for its preserved medieval houses and former beguine community.
  • B. Teylingen
    Teylingen is a municipality in the Dutch province of South Holland, known for its historic estates and proximity to the bulb-growing region.
  • C. Vijfhuizen
    Vijfhuizen is a village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer near Haarlem.
  • D. Molenwaard
    Molenwaard was a former municipality in the Dutch province of South Holland that later became part of the newly formed municipality of Molenlanden.
  • E. Nieuwenhoorn
    Nieuwenhoorn is a village in the western Netherlands that forms part of the province of South Holland.
  • 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_69c68838f9948190875fd60b2351230c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eac9fab88190881ab9e1cd94cdc1 completed March 27, 2026, 8:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3c7754481908ff7cc0fc6419599 completed March 28, 2026, 1:12 p.m.
NEDg Description generation batch_69c7d5c7c3a48190b8d1b5e351ebfbd5 completed March 28, 2026, 1:21 p.m.
NED2 Entity disambiguation (via description) batch_69c7d639f7f08190a360bd2899e6fef8 completed March 28, 2026, 1:23 p.m.
Created at: March 27, 2026, 2:57 p.m.