Triple

T33937165
Position Surface form Disambiguated ID Type / Status
Subject Annafest E870062 entity
Predicate mainVenue P373 FINISHED
Object Kellerwald Forchheim
Kellerwald Forchheim is a historic woodland beer cellar district in Forchheim, Germany, renowned for its numerous traditional beer cellars and as a major Franconian beer culture destination.
E2074480 NE 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: Kellerwald Forchheim | Statement: [Annafest, mainVenue, Kellerwald Forchheim]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kellerwald Forchheim
Triple: [Annafest, mainVenue, Kellerwald Forchheim]
Generated description
Kellerwald Forchheim is a historic woodland beer cellar district in Forchheim, Germany, renowned for its numerous traditional beer cellars and as a major Franconian beer culture destination.

Provenance (5 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_69f3499a59788190bff762a891471b31 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f7022d6b3c81908a26309913fafce6 completed May 3, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3689d13f6081909f2e88203f00f85a completed June 20, 2026, 12:38 p.m.
NEDg Description generation batch_6a368a465dec8190abfed840dfbf11e9 completed June 20, 2026, 12:40 p.m.
NED2 Entity disambiguation (via description) batch_6a368ac9af4c81909847e2aedf58afae completed June 20, 2026, 12:42 p.m.
Created at: May 1, 2026, 1:49 a.m.