Triple

T184335
Position Surface form Disambiguated ID Type / Status
Subject Singel E3947 entity
Predicate hasLandmark P105 FINISHED
Object Bloemenmarkt
Bloemenmarkt is Amsterdam’s famous floating flower market, known for its stalls selling tulips, bulbs, and other flowers along the Singel canal.
 E23932 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: Bloemenmarkt | Statement: [Singel, hasLandmark, Bloemenmarkt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bloemenmarkt
Context triple: [Singel, hasLandmark, Bloemenmarkt]
  • A. Unter den Linden
    Unter den Linden is a historic and grand boulevard in central Berlin, Germany, renowned for its cultural institutions, landmarks, and role as a major ceremonial avenue.
  • B. Grüner Markt
    Grüner Markt is a central marketplace and public square in the Bavarian city of Fürth, known for its local vendors and historic urban setting.
  • C. Tulle
    Tulle is a historic town in central France, known as the capital of the Corrèze department in the Nouvelle-Aquitaine region.
  • D. City of Fountains
    City of Fountains is a popular nickname for Kansas City, Missouri, highlighting its abundance of decorative public fountains and water features.
  • E. Vondelpark
    Vondelpark is Amsterdam’s largest and most famous urban park, known for its expansive green spaces, ponds, and cultural events.
  • 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: Bloemenmarkt
Triple: [Singel, hasLandmark, Bloemenmarkt]
Generated description
Bloemenmarkt is Amsterdam’s famous floating flower market, known for its stalls selling tulips, bulbs, and other flowers along the Singel canal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bloemenmarkt
Target entity description: Bloemenmarkt is Amsterdam’s famous floating flower market, known for its stalls selling tulips, bulbs, and other flowers along the Singel canal.
  • A. Unter den Linden
    Unter den Linden is a historic and grand boulevard in central Berlin, Germany, renowned for its cultural institutions, landmarks, and role as a major ceremonial avenue.
  • B. Grüner Markt
    Grüner Markt is a central marketplace and public square in the Bavarian city of Fürth, known for its local vendors and historic urban setting.
  • C. Tulle
    Tulle is a historic town in central France, known as the capital of the Corrèze department in the Nouvelle-Aquitaine region.
  • D. City of Fountains
    City of Fountains is a popular nickname for Kansas City, Missouri, highlighting its abundance of decorative public fountains and water features.
  • E. Vondelpark
    Vondelpark is Amsterdam’s largest and most famous urban park, known for its expansive green spaces, ponds, and cultural events.
  • 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_69a25497e2f08190a040f8c6e1842643 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a25926be9c8190a4cfce66f57589d1 completed Feb. 28, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a305e511a08190a560125ed3839a0c completed Feb. 28, 2026, 3:12 p.m.
NEDg Description generation batch_69a30679b0648190975dcfaf4f9846bf completed Feb. 28, 2026, 3:15 p.m.
NED2 Entity disambiguation (via description) batch_69a306e6ce6c8190a77d42643914b03a completed Feb. 28, 2026, 3:16 p.m.
Created at: Feb. 28, 2026, 2:40 a.m.