Triple

T11781860
Position Surface form Disambiguated ID Type / Status
Subject Muenster, Texas E280165 entity
Predicate GermanfestFeatures P96461 FINISHED
Object German food 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: German food | Statement: [Muenster, Texas, GermanfestFeatures, German food]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: GermanfestFeatures
Context triple: [Muenster, Texas, GermanfestFeatures, German food]
  • A. legtFest
    Indicates that one entity determines, defines, or sets rules, conditions, or parameters that are binding for another entity or situation.
  • B. traditionalFeastConnection
    Indicates a relationship in which entities are linked through the observance, organization, or shared participation in a traditional feast or ceremonial meal.
  • C. feastType
    Indicates the specific kind or category of feast associated with an event or occasion.
  • D. festivalFeature chosen
    Indicates that a festival includes or showcases a particular element, activity, or attraction as one of its features.
  • E. feast
    Indicates that an entity participates in or hosts a large, elaborate meal or celebration involving abundant food and communal dining.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a8c2e8b08190a31b1e284fca2aee completed April 10, 2026, 7:37 a.m.
PD Predicate disambiguation batch_69d8a242cd8c819086ed6c5f292dc8cb completed April 10, 2026, 7:09 a.m.
Created at: April 8, 2026, 9:42 p.m.