Triple

T27811186
Position Surface form Disambiguated ID Type / Status
Subject Milk Stand E702521 entity
Predicate basedOnFictionalBeverageFrom P182222 FINISHED
Object Star Wars film series NE NERFINISHED

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: Star Wars film series | Statement: [Milk Stand, basedOnFictionalBeverageFrom, Star Wars film series]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: basedOnFictionalBeverageFrom
Context triple: [Milk Stand, basedOnFictionalBeverageFrom, Star Wars film series]
  • A. hasDrinkNamedAfter
    Indicates that one entity has a beverage that is named after another entity.
  • B. isSoftDrinkVariantOf
    Indicates that one soft drink is a specific version, flavor, or formulation derived from or based on another soft drink.
  • C. beverageBase
    Indicates that one entity serves as the primary liquid or foundational ingredient used to make a beverage involving the other entity.
  • D. brewedAccordingTo
    Indicates that something has been produced or prepared following a specified brewing method, recipe, or standard.
  • E. hasBeverageReference
    Indicates that one entity makes reference to, mentions, or is associated with a beverage in some way.
  • F. None of above. chosen

Provenance (4 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_69ef840a16748190926719ab96120bae completed April 27, 2026, 3:43 p.m.
NER Named-entity recognition batch_69f7886be6d8819095ec62e4f2cee858 completed May 3, 2026, 5:39 p.m.
PD Predicate disambiguation batch_69f7841440f48190b4346c08855951d2 completed May 3, 2026, 5:21 p.m.
PDg Predicate description generation batch_69f7886b27f08190ab4580f949222c93 completed May 3, 2026, 5:39 p.m.
Created at: April 27, 2026, 5:42 p.m.