Triple

T16758436
Position Surface form Disambiguated ID Type / Status
Subject Antonín Zápotocký E407270 entity
Predicate familyName P18 FINISHED
Object Zápotocký
Zápotocký is a Czech surname most notably borne by Antonín Zápotocký, a former president and prime minister of Czechoslovakia.
E1231485 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: Zápotocký | Statement: [Antonín Zápotocký, familyName, Zápotocký]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zápotocký
Context triple: [Antonín Zápotocký, familyName, Zápotocký]
  • A. Biely Potok
    Biely Potok was a former Slovak settlement in the Orava region that was submerged and abandoned during the creation of the Orava Reservoir.
  • B. Pavoloch
    Pavoloch is a historic settlement in present-day Ukraine, known for its role in the Polish–Lithuanian Commonwealth era and as the place where nobleman Jeremi Wiśniowiecki died.
  • C. Bóbrka
    Bóbrka is a village in southeastern Poland historically significant as one of the birthplaces of the modern oil industry.
  • D. Krzna
    Krzna is a river in eastern Poland that flows through the Lublin region before joining the Bug River.
  • E. Velké Poříčí
    Velké Poříčí is a municipality and village in the Hradec Králové Region of the Czech Republic, situated near the town of Náchod close to the Polish border.
  • 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: Zápotocký
Triple: [Antonín Zápotocký, familyName, Zápotocký]
Generated description
Zápotocký is a Czech surname most notably borne by Antonín Zápotocký, a former president and prime minister of Czechoslovakia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zápotocký
Target entity description: Zápotocký is a Czech surname most notably borne by Antonín Zápotocký, a former president and prime minister of Czechoslovakia.
  • A. Biely Potok
    Biely Potok was a former Slovak settlement in the Orava region that was submerged and abandoned during the creation of the Orava Reservoir.
  • B. Pavoloch
    Pavoloch is a historic settlement in present-day Ukraine, known for its role in the Polish–Lithuanian Commonwealth era and as the place where nobleman Jeremi Wiśniowiecki died.
  • C. Bóbrka
    Bóbrka is a village in southeastern Poland historically significant as one of the birthplaces of the modern oil industry.
  • D. Krzna
    Krzna is a river in eastern Poland that flows through the Lublin region before joining the Bug River.
  • E. Velké Poříčí
    Velké Poříčí is a municipality and village in the Hradec Králové Region of the Czech Republic, situated near the town of Náchod close to the Polish border.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3abea156c8190a5ee6d0028471810 completed April 18, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a52b17b88190af24c04d16980c9f completed May 10, 2026, 3:32 p.m.
NEDg Description generation batch_6a00a5e1eea8819088553ac6673e9b1c completed May 10, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_6a00a68b92b48190865ddd477a8ba1c6 completed May 10, 2026, 3:38 p.m.
Created at: April 10, 2026, 5:21 a.m.