Triple

T30975197
Position Surface form Disambiguated ID Type / Status
Subject Alpirsbach E789210 entity
Predicate economicSpeciality P176031 FINISHED
Object Klosterbräu beer 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: Klosterbräu beer | Statement: [Alpirsbach, economicSpeciality, Klosterbräu beer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: economicSpeciality
Context triple: [Alpirsbach, economicSpeciality, Klosterbräu beer]
  • A. economicSectors
    Indicates a relationship that associates entities with the economic sectors or industries in which they operate or to which they belong.
  • B. economicScope
    Indicates the range or extent of economic activities, impacts, or considerations that a given entity, action, or relationship encompasses.
  • C. economicAspect
    Indicates that something is related to, characterized by, or has implications for economic factors, conditions, or outcomes.
  • D. economicClassification
    Indicates how an entity is categorized based on its economic characteristics, status, or role within an economic system.
  • E. economicExtensionOf
    Indicates that one entity’s economy is heavily dependent on, controlled by, or functions as an outgrowth of another entity’s economic system.
  • 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_69f224c4831c8190be53924ec25a150a completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6db3606808190a80c6e9f5da5b33e completed May 3, 2026, 5:20 a.m.
PD Predicate disambiguation batch_69f6d82adfa481908a5e196d2e18c73f completed May 3, 2026, 5:07 a.m.
PDg Predicate description generation batch_69f6db1bc348819097c844f76e2fa4fe completed May 3, 2026, 5:20 a.m.
Created at: April 29, 2026, 8:55 p.m.