Triple

T34913825
Position Surface form Disambiguated ID Type / Status
Subject Sudovians E1006946 entity
Predicate partOf P40 FINISHED
Object Old Prussian tribal area
The Old Prussian tribal area was the historical Baltic homeland inhabited by various Old Prussian tribes before their conquest and assimilation by the Teutonic Order.
 E68636 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: Old Prussian tribal area | Statement: [Sudovians, partOf, Old Prussian tribal area]
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: Old Prussian tribal area
Triple: [Sudovians, partOf, Old Prussian tribal area]
Generated description
The Old Prussian tribal area was the historical Baltic homeland inhabited by various Old Prussian tribes before their conquest and assimilation by the Teutonic Order.

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_69f76dc2b6b0819095a61debbd405269 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78212c8988190b7c79a1501738f37 completed May 3, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3786f26998819085ff5b40cdb32a97 completed June 21, 2026, 6:38 a.m.
NEDg Description generation batch_6a378803964c8190a7f834c7ce96c33e completed June 21, 2026, 6:43 a.m.
NED2 Entity disambiguation (via description) batch_6a3788a0d93481909ff1f47ea8a85ce1 completed June 21, 2026, 6:45 a.m.
Created at: May 3, 2026, 4 p.m.