Triple

T15764294
Position Surface form Disambiguated ID Type / Status
Subject Hammersmith Broadway E382178 entity
Predicate hasFoodAndDrink P70493 FINISHED
Object cafes LITERAL FINISHED

How this triple was built (2 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: cafes | Statement: [Hammersmith Broadway, hasFoodAndDrink, cafes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFoodAndDrink
Context triple: [Hammersmith Broadway, hasFoodAndDrink, cafes]
  • A. hasFoodOrDrink
    Indicates that an entity possesses, provides, or is associated with some type of food or drink.
  • B. offersFoodAndBeverage chosen
    Indicates that an entity provides both food and drink to another entity or for general consumption.
  • C. hasFoodOption
    Indicates that an entity offers, provides, or includes a particular type of food or dining option.
  • D. alsoEats
    Indicates that an entity consumes something in addition to another item or items it already eats.
  • E. hasBeverageCategory
    Indicates that an entity is associated with or classified under a particular beverage category.
  • F. None of above.

Provenance (3 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b6c9fc8190a1bcf763c4b04b12 completed April 16, 2026, 3 a.m.
PD Predicate disambiguation batch_69e00531e7ac8190a4190cce4f7fab4c completed April 15, 2026, 9:37 p.m.
Created at: April 10, 2026, 4:47 a.m.