Triple

T26312957
Position Surface form Disambiguated ID Type / Status
Subject Franz Xaver von Baader E661874 entity
Predicate employer P7 FINISHED
Object Bavarian mining administration
The Bavarian mining administration was the governmental authority responsible for overseeing and regulating mining operations and mineral resources in the Kingdom of Bavaria.
E1717502 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: Bavarian mining administration | Statement: [Franz Xaver von Baader, employer, Bavarian mining administration]
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: Bavarian mining administration
Triple: [Franz Xaver von Baader, employer, Bavarian mining administration]
Generated description
The Bavarian mining administration was the governmental authority responsible for overseeing and regulating mining operations and mineral resources in the Kingdom of Bavaria.

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_69ee812dacfc81908484aade9120fba9 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f60eeaec388190a63c44d4765ed156 completed May 2, 2026, 2:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a118fd3f8e481909430bda9bb8fc728 completed May 23, 2026, 11:30 a.m.
NEDg Description generation batch_6a1190bd0a3481909994a487903388d8 completed May 23, 2026, 11:34 a.m.
NED2 Entity disambiguation (via description) batch_6a119148a52c8190ab07b136673ee956 completed May 23, 2026, 11:36 a.m.
Created at: April 26, 2026, 10:23 p.m.