Triple

T19965765
Position Surface form Disambiguated ID Type / Status
Subject Zlatko Mateša E479928 entity
Predicate familyName P18 FINISHED
Object Mateša
Mateša is a Croatian surname most notably borne by Zlatko Mateša, a former Prime Minister of Croatia.
E1405212 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: Mateša | Statement: [Zlatko Mateša, familyName, Mateša]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mateša
Context triple: [Zlatko Mateša, familyName, Mateša]
  • A. Matasović
    Matasović is a South Slavic surname, notably borne by Croatian linguist and Indo-Europeanist Ranko Matasović.
  • B. Martinšćica
    Martinšćica is a small coastal village and tourist resort on the island of Cres in Croatia, known for its beaches and tranquil seaside atmosphere.
  • C. Moša
    Moša was the given name of Moša Pijade, a prominent Yugoslav communist politician, partisan leader, and close associate of Josip Broz Tito.
  • D. Neša
    Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
  • E. Mišar
    Mišar is a village in western Serbia historically known as the site of the 1806 Battle of Mišar during the First Serbian Uprising against Ottoman rule.
  • 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: Mateša
Triple: [Zlatko Mateša, familyName, Mateša]
Generated description
Mateša is a Croatian surname most notably borne by Zlatko Mateša, a former Prime Minister of Croatia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mateša
Target entity description: Mateša is a Croatian surname most notably borne by Zlatko Mateša, a former Prime Minister of Croatia.
  • A. Matasović
    Matasović is a South Slavic surname, notably borne by Croatian linguist and Indo-Europeanist Ranko Matasović.
  • B. Martinšćica
    Martinšćica is a small coastal village and tourist resort on the island of Cres in Croatia, known for its beaches and tranquil seaside atmosphere.
  • C. Moša
    Moša was the given name of Moša Pijade, a prominent Yugoslav communist politician, partisan leader, and close associate of Josip Broz Tito.
  • D. Neša
    Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
  • E. Mišar
    Mišar is a village in western Serbia historically known as the site of the 1806 Battle of Mišar during the First Serbian Uprising against Ottoman rule.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65bc4f47c8190a721f5e488150d81 completed April 20, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0804f72b288190ae03a856d3581508 completed May 16, 2026, 5:47 a.m.
NEDg Description generation batch_6a0805ff590c8190afe9f275675cbb27 completed May 16, 2026, 5:51 a.m.
NED2 Entity disambiguation (via description) batch_6a0806ab6cdc8190bd11822e0f5426cc completed May 16, 2026, 5:54 a.m.
Created at: April 10, 2026, 1:54 p.m.