Triple

T5695695
Position Surface form Disambiguated ID Type / Status
Subject Sands Point Preserve E125532 entity
Predicate hasBuilding P105 FINISHED
Object Mille Fleurs
Mille Fleurs is a historic estate residence located within the Sands Point Preserve on Long Island’s North Shore.
E542024 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: Mille Fleurs | Statement: [Sands Point Preserve, hasBuilding, Mille Fleurs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mille Fleurs
Context triple: [Sands Point Preserve, hasBuilding, Mille Fleurs]
  • A. City of Flowers
    City of Flowers is a popular nickname for Zamboanga City in the Philippines, highlighting its abundance of vibrant flora and garden-like landscapes.
  • B. Fleurie
    Fleurie is a renowned Beaujolais cru appellation in eastern France, celebrated for its elegant, floral Gamay-based red wines.
  • C. Les Violets
    Les Violets is the popular nickname of Toulouse FC, the French professional football club known for its distinctive purple team colors.
  • D. The Flower
    The Flower is the nickname of Guy Lafleur, the legendary Montreal Canadiens right winger renowned for his speed, scoring prowess, and flowing blond hair.
  • E. Les Vaines Tendresses
    Les Vaines Tendresses is a collection of lyrical poems by French poet Sully Prudhomme, reflecting his characteristic blend of melancholy, introspection, and philosophical sensitivity.
  • 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: Mille Fleurs
Triple: [Sands Point Preserve, hasBuilding, Mille Fleurs]
Generated description
Mille Fleurs is a historic estate residence located within the Sands Point Preserve on Long Island’s North Shore.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mille Fleurs
Target entity description: Mille Fleurs is a historic estate residence located within the Sands Point Preserve on Long Island’s North Shore.
  • A. City of Flowers
    City of Flowers is a popular nickname for Zamboanga City in the Philippines, highlighting its abundance of vibrant flora and garden-like landscapes.
  • B. Fleurie
    Fleurie is a renowned Beaujolais cru appellation in eastern France, celebrated for its elegant, floral Gamay-based red wines.
  • C. Les Violets
    Les Violets is the popular nickname of Toulouse FC, the French professional football club known for its distinctive purple team colors.
  • D. The Flower
    The Flower is the nickname of Guy Lafleur, the legendary Montreal Canadiens right winger renowned for his speed, scoring prowess, and flowing blond hair.
  • E. Les Vaines Tendresses
    Les Vaines Tendresses is a collection of lyrical poems by French poet Sully Prudhomme, reflecting his characteristic blend of melancholy, introspection, and philosophical sensitivity.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0240bde1881909f7ea13bd84deaa8 completed March 22, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a5635448190ada625283405752f completed March 22, 2026, 9:08 p.m.
NEDg Description generation batch_69c05be7f7cc8190bb1f8081289c5e02 completed March 22, 2026, 9:15 p.m.
NED2 Entity disambiguation (via description) batch_69c0620ee1848190935f5f78abbed7ba completed March 22, 2026, 9:41 p.m.
Created at: March 22, 2026, 3:45 p.m.