Triple

T9611941
Position Surface form Disambiguated ID Type / Status
Subject Radola Gajda E232121 entity
Predicate familyName P18 FINISHED
Object Gajda
Gajda is a Czech surname most notably borne by Radola Gajda, a prominent Czechoslovak general and political figure in the early 20th century.
 E810947 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: Gajda | Statement: [Radola Gajda, familyName, Gajda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gajda
Context triple: [Radola Gajda, familyName, Gajda]
  • A. Hajnówka
    Hajnówka is a town in northeastern Poland known as a gateway to the Białowieża Forest and a center of Belarusian minority culture.
  • B. Babice
    Babice is a village in southern Poland located in the Lesser Poland Voivodeship, historically associated with the Oświęcim (Auschwitz) area.
  • C. Huczwa
    Huczwa is a river in eastern Poland that flows through the Lublin region before joining the Western Bug.
  • D. Chojnice
    Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
  • E. Zgorzelec
    Zgorzelec is a town in southwestern Poland on the Lusatian Neisse River, forming a twin city with Görlitz in Germany and serving as an important local cultural and transport hub.
  • 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: Gajda
Triple: [Radola Gajda, familyName, Gajda]
Generated description
Gajda is a Czech surname most notably borne by Radola Gajda, a prominent Czechoslovak general and political figure in the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gajda
Target entity description: Gajda is a Czech surname most notably borne by Radola Gajda, a prominent Czechoslovak general and political figure in the early 20th century.
  • A. Hajnówka
    Hajnówka is a town in northeastern Poland known as a gateway to the Białowieża Forest and a center of Belarusian minority culture.
  • B. Babice
    Babice is a village in southern Poland located in the Lesser Poland Voivodeship, historically associated with the Oświęcim (Auschwitz) area.
  • C. Huczwa
    Huczwa is a river in eastern Poland that flows through the Lublin region before joining the Western Bug.
  • D. Chojnice
    Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
  • E. Zgorzelec
    Zgorzelec is a town in southwestern Poland on the Lusatian Neisse River, forming a twin city with Görlitz in Germany and serving as an important local cultural and transport hub.
  • 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_69ca8485a90c819094fe40b42fde9d70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a87764481909ab96cd2ab96d14b completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d179513f9081909bcd9a456c640ba3 completed April 4, 2026, 8:49 p.m.
NEDg Description generation batch_69d17b87ec6c8190a265bdbb6855dca5 completed April 4, 2026, 8:58 p.m.
NED2 Entity disambiguation (via description) batch_69d17beebd748190b85d7bd549276197 completed April 4, 2026, 9 p.m.
Created at: March 30, 2026, 8:09 p.m.