Triple

T8714455
Position Surface form Disambiguated ID Type / Status
Subject Oktoberfestbier E206859 entity
Predicate primaryServingLocation P5921 FINISHED
Object Oktoberfest beer tents 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: Oktoberfest beer tents | Statement: [Oktoberfestbier, primaryServingLocation, Oktoberfest beer tents]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryServingLocation
Context triple: [Oktoberfestbier, primaryServingLocation, Oktoberfest beer tents]
  • A. primaryServes
    Indicates that one entity’s main or principal function is to serve, support, or provide service to another entity.
  • B. primaryVenueFor chosen
    Indicates that one entity serves as the main or principal venue or location for events, activities, or operations associated with another entity.
  • C. primaryHubFor
    Indicates that one entity serves as the main central hub or core point of coordination for another entity or set of entities.
  • D. isPrimaryFacilityFor
    Indicates that one facility serves as the main or principal location responsible for supporting or serving a particular entity or operation.
  • E. centralLocation
    Indicates that one entity serves as the primary or central place associated with 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_69ca83572d4881909bef3be2b578d539 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5cd6707c819092c9fca34f273d5e completed March 31, 2026, 11:46 p.m.
PD Predicate disambiguation batch_69cc456e806c819087e7d66ee737f242 completed March 31, 2026, 10:06 p.m.
Created at: March 30, 2026, 6:35 p.m.