Triple

T38298363
Position Surface form Disambiguated ID Type / Status
Subject Przemysł I of Greater Poland E1032155 entity
Predicate positionHeld P8 FINISHED
Object Duke of Nakło
The Duke of Nakło was a medieval Polish noble title associated with the Piast dynasty, held as a regional ducal rulership centered on the town of Nakło in Greater Poland.
E2284716 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 Nakło | Statement: [Przemysł I of Greater Poland, positionHeld, Duke of Nakło]
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 Nakło
Triple: [Przemysł I of Greater Poland, positionHeld, Duke of Nakło]
Generated description
The Duke of Nakło was a medieval Polish noble title associated with the Piast dynasty, held as a regional ducal rulership centered on the town of Nakło in Greater 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_69f76e0f2084819091299d021625c3fe completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fcc618020c8190b055d8c8d4d7c050 completed May 7, 2026, 5:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a43e9d27fac81908fd32871b041d3a1 completed June 30, 2026, 4:07 p.m.
NEDg Description generation batch_6a43eaeb4ab48190bf71041bbcaa0625 completed June 30, 2026, 4:12 p.m.
NED2 Entity disambiguation (via description) batch_6a43ee85b1a48190a4531b312cc62769 completed June 30, 2026, 4:27 p.m.
Created at: May 3, 2026, 4:30 p.m.