Triple

T38639039
Position Surface form Disambiguated ID Type / Status
Subject Oberösterreichische Landesregierung E938540 entity
Predicate hasPart P35 FINISHED
Object Landeshauptmann von Oberösterreich
The Landeshauptmann von Oberösterreich is the head of government and highest-ranking political official of the Austrian state of Upper Austria.
E2278596 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: Landeshauptmann von Oberösterreich | Statement: [Oberösterreichische Landesregierung, hasPart, Landeshauptmann von Oberösterreich]
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: Landeshauptmann von Oberösterreich
Triple: [Oberösterreichische Landesregierung, hasPart, Landeshauptmann von Oberösterreich]
Generated description
The Landeshauptmann von Oberösterreich is the head of government and highest-ranking political official of the Austrian state of Upper Austria.

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_69f76ed948ec81908ce7811608a8f359 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcd9ba41688190b1484c52ddc16cdd completed May 7, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41f4591e748190b9bba4f7671ed068 completed June 29, 2026, 4:28 a.m.
NEDg Description generation batch_6a41f510ea6481908491ca410f6f7ec3 completed June 29, 2026, 4:31 a.m.
NED2 Entity disambiguation (via description) batch_6a41f6229fb8819099ba86f2db3ae6d1 completed June 29, 2026, 4:35 a.m.
Created at: May 3, 2026, 4:32 p.m.