Triple

T10504753
Position Surface form Disambiguated ID Type / Status
Subject FT Weekend E247756 entity
Predicate hasSection P35 FINISHED
Object Food & Drink
Food & Drink is a lifestyle and culture section of the Financial Times Weekend edition that focuses on culinary trends, restaurant coverage, recipes, and drinks.
E867447 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: Food & Drink | Statement: [FT Weekend, hasSection, Food & Drink]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Food & Drink
Context triple: [FT Weekend, hasSection, Food & Drink]
  • A. Food & Liquor
    Food & Liquor is the critically acclaimed debut studio album by American rapper Lupe Fiasco, known for its socially conscious lyrics and innovative production.
  • B. Foods & Refreshment
    Foods & Refreshment is a major Unilever business division that focuses on producing and marketing a wide range of food and beverage brands for global consumers.
  • C. Food
    Food is a 2014 studio album by American singer Kelis that blends soul, funk, and R&B with a warm, retro-inspired sound.
  • D. Food & Wine
    Food & Wine is a long-running American magazine and media brand focused on gourmet cooking, wine, restaurants, and culinary travel.
  • E. Wines and Spirits
    Wines and Spirits is a major LVMH business division encompassing prestigious wine, champagne, and spirits brands.
  • 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: Food & Drink
Triple: [FT Weekend, hasSection, Food & Drink]
Generated description
Food & Drink is a lifestyle and culture section of the Financial Times Weekend edition that focuses on culinary trends, restaurant coverage, recipes, and drinks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Food & Drink
Target entity description: Food & Drink is a lifestyle and culture section of the Financial Times Weekend edition that focuses on culinary trends, restaurant coverage, recipes, and drinks.
  • A. Food & Liquor
    Food & Liquor is the critically acclaimed debut studio album by American rapper Lupe Fiasco, known for its socially conscious lyrics and innovative production.
  • B. Foods & Refreshment
    Foods & Refreshment is a major Unilever business division that focuses on producing and marketing a wide range of food and beverage brands for global consumers.
  • C. Food
    Food is a 2014 studio album by American singer Kelis that blends soul, funk, and R&B with a warm, retro-inspired sound.
  • D. Food & Wine
    Food & Wine is a long-running American magazine and media brand focused on gourmet cooking, wine, restaurants, and culinary travel.
  • E. Wines and Spirits
    Wines and Spirits is a major LVMH business division encompassing prestigious wine, champagne, and spirits brands.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5099f4dec8190a9851739c8bc9a69 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dcd89ba481908653730b43e3d4ab completed April 10, 2026, 11:19 a.m.
NEDg Description generation batch_69d8e8c9d5cc8190a425ed834855bbcd completed April 10, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69d901fecee88190999e88ca2e56a516 completed April 10, 2026, 1:58 p.m.
Created at: April 6, 2026, 12:26 p.m.