Triple

T10558430
Position Surface form Disambiguated ID Type / Status
Subject Jerzy Mniszech E249149 entity
Predicate positionHeld P8 FINISHED
Object starost of Pilzno
The starost of Pilzno was a local royal official in the Polish–Lithuanian Commonwealth responsible for administering the royal estates and overseeing judicial and economic matters in the Pilzno region.
 E870553 NE FINISHED

How this triple was built (4 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: starost of Pilzno | Statement: [Jerzy Mniszech, positionHeld, starost of Pilzno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: starost of Pilzno
Context triple: [Jerzy Mniszech, positionHeld, starost of Pilzno]
  • A. Stolin
    Stolin is a historic town in southwestern Belarus known as the ancestral center of the Karlin-Stolin Hasidic dynasty.
  • B. Poličnik
    Poličnik is a municipality in Croatia located near the city of Zadar on the Adriatic coast.
  • C. Sałasz
    Sałasz is a mountain peak in southern Poland located within the Beskid Wyspowy range.
  • D. Klimczok
    Klimczok is a prominent mountain peak in southern Poland, located in the Silesian Beskids range and popular for hiking and winter sports.
  • E. Grósz
    Grósz is a Hungarian surname most notably borne by Károly Grósz, a late-20th-century Hungarian communist politician and former Prime Minister.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: starost of Pilzno
Triple: [Jerzy Mniszech, positionHeld, starost of Pilzno]
Generated description
The starost of Pilzno was a local royal official in the Polish–Lithuanian Commonwealth responsible for administering the royal estates and overseeing judicial and economic matters in the Pilzno region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: starost of Pilzno
Target entity description: The starost of Pilzno was a local royal official in the Polish–Lithuanian Commonwealth responsible for administering the royal estates and overseeing judicial and economic matters in the Pilzno region.
  • A. Stolin
    Stolin is a historic town in southwestern Belarus known as the ancestral center of the Karlin-Stolin Hasidic dynasty.
  • B. Poličnik
    Poličnik is a municipality in Croatia located near the city of Zadar on the Adriatic coast.
  • C. Sałasz
    Sałasz is a mountain peak in southern Poland located within the Beskid Wyspowy range.
  • D. Klimczok
    Klimczok is a prominent mountain peak in southern Poland, located in the Silesian Beskids range and popular for hiking and winter sports.
  • E. Grósz
    Grósz is a Hungarian surname most notably borne by Károly Grósz, a late-20th-century Hungarian communist politician and former Prime Minister.
  • F. None of above. chosen

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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5271521a4819086d96e1f183ab07a completed April 7, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d93486c7288190a2ccb822fc968919 completed April 10, 2026, 5:33 p.m.
NEDg Description generation batch_69d938c979788190b11b02748ed44153 completed April 10, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_69d9398b63f08190910dd838ad11de6e completed April 10, 2026, 5:55 p.m.
Created at: April 6, 2026, 12:35 p.m.