Triple

T21162878
Position Surface form Disambiguated ID Type / Status
Subject Nikola Šubić Zrinski E521483 entity
Predicate placeOfBurial P196 FINISHED
Object Čakovec
Čakovec is a historic town in northern Croatia, known as the administrative center of Međimurje County and for its medieval castle and cultural heritage.
 E1498975 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: Čakovec | Statement: [Nikola Šubić Zrinski, placeOfBurial, Čakovec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Čakovec
Context triple: [Nikola Šubić Zrinski, placeOfBurial, Čakovec]
  • A. Kakanj
    Kakanj is an industrial town in central Bosnia and Herzegovina known for its coal mining and cement production.
  • B. Bjelovar
    Bjelovar is a city in central Croatia known as an administrative, cultural, and economic center of the Bjelovar-Bilogora County.
  • C. Orešković
    Orešković is a Croatian surname borne by several notable figures in Croatian politics, sports, and public life.
  • D. Ozalj
    Ozalj is a historic town in central Croatia known for its medieval castle and picturesque setting near the confluence of the Kupa and Dobra rivers.
  • E. Žabljak
    Žabljak is a small mountain town in northern Montenegro known as a major center for outdoor tourism, especially hiking and skiing in the Durmitor region.
  • 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: Čakovec
Triple: [Nikola Šubić Zrinski, placeOfBurial, Čakovec]
Generated description
Čakovec is a historic town in northern Croatia, known as the administrative center of Međimurje County and for its medieval castle and cultural heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Čakovec
Target entity description: Čakovec is a historic town in northern Croatia, known as the administrative center of Međimurje County and for its medieval castle and cultural heritage.
  • A. Kakanj
    Kakanj is an industrial town in central Bosnia and Herzegovina known for its coal mining and cement production.
  • B. Bjelovar
    Bjelovar is a city in central Croatia known as an administrative, cultural, and economic center of the Bjelovar-Bilogora County.
  • C. Orešković
    Orešković is a Croatian surname borne by several notable figures in Croatian politics, sports, and public life.
  • D. Ozalj
    Ozalj is a historic town in central Croatia known for its medieval castle and picturesque setting near the confluence of the Kupa and Dobra rivers.
  • E. Žabljak
    Žabljak is a small mountain town in northern Montenegro known as a major center for outdoor tourism, especially hiking and skiing in the Durmitor region.
  • 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_69e0b50d1ea481909c07e63c3ead9316 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72532e9348190ad37fe858843d0f5 completed April 21, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a2eb705288190a77bdd249e57f869 completed May 17, 2026, 9:10 p.m.
NEDg Description generation batch_6a0a2f52c2688190bf05774546a4ba58 completed May 17, 2026, 9:12 p.m.
NED2 Entity disambiguation (via description) batch_6a0a2fe468ac81908b591a086eade238 completed May 17, 2026, 9:15 p.m.
Created at: April 16, 2026, 2:59 p.m.