Triple

T35557194
Position Surface form Disambiguated ID Type / Status
Subject Przemysław I Noszak E1027530 entity
Predicate position held P8 FINISHED
Object Duke of Strzelin
The Duke of Strzelin was a medieval Silesian noble title associated with the Piast dynasty, held as part of the fragmented duchies in the region of present-day southwestern Poland.
E2210054 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: Duke of Strzelin | Statement: [Przemysław I Noszak, position held, Duke of Strzelin]
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: Duke of Strzelin
Triple: [Przemysław I Noszak, position held, Duke of Strzelin]
Generated description
The Duke of Strzelin was a medieval Silesian noble title associated with the Piast dynasty, held as part of the fragmented duchies in the region of present-day southwestern Poland.

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_69f76e014fd481909e9f04ac603a2aa9 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79840c2b4819099b8e456f718021c completed May 3, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e8c1390c4819084f740a29c6a156c completed June 26, 2026, 2:26 p.m.
NEDg Description generation batch_6a3e94bce86c8190b025e79699e31e7e completed June 26, 2026, 3:03 p.m.
NED2 Entity disambiguation (via description) batch_6a3e9e99bdf081909934fab6490220d7 completed June 26, 2026, 3:45 p.m.
Created at: May 3, 2026, 4:04 p.m.