Triple

T38410049
Position Surface form Disambiguated ID Type / Status
Subject Taste of Hamburg-er festival E901448 entity
Predicate foodTypeServed P48322 FINISHED
Object hamburgers 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: hamburgers | Statement: [Taste of Hamburg-er festival, foodTypeServed, hamburgers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: foodTypeServed
Context triple: [Taste of Hamburg-er festival, foodTypeServed, hamburgers]
  • A. servesType chosen
    Indicates that one entity provides, offers, or is used to deliver a particular type, category, or kind of thing or service.
  • B. isTypicallyServedFor
    Indicates that one item is most commonly or customarily served as a meal or course for the other (e.g., a dish typically served for breakfast, lunch, or dinner).
  • C. foodOfferedTo
    Indicates that some food is presented or made available by one entity for another entity to receive or consume.
  • D. foodService
    Indicates that one entity provides, manages, or is responsible for supplying food or meal-related services to another entity.
  • E. servesDish
    Indicates that one entity prepares and presents a specific dish as food for another entity.
  • 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_69f76e61e79c81908b787d83b46ab92b completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fcd1499e2c81909bafd84dc4810f45 completed May 7, 2026, 5:52 p.m.
PD Predicate disambiguation batch_69fcccf024ec819086383ffbb6cfc036 completed May 7, 2026, 5:33 p.m.
Created at: May 3, 2026, 4:31 p.m.