Triple

T2103654
Position Surface form Disambiguated ID Type / Status
Subject Debrecen E37144 entity
Predicate hasTwinTown P919 FINISHED
Object Eszék (Osijek) E133925 NE FINISHED

How this triple was built (2 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: Eszék (Osijek) | Statement: [Debrecen, hasTwinTown, Eszék (Osijek)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eszék (Osijek)
Context triple: [Debrecen, hasTwinTown, Eszék (Osijek)]
  • A. Osijek chosen
    Osijek is a prominent city in eastern Croatia known as an economic, cultural, and educational center of the Slavonia region.
  • B. Barajevo
    Barajevo is a suburban municipality of Belgrade, Serbia, located in the southern part of the city’s administrative area.
  • C. Zrenjanin
    Zrenjanin is a city in northern Serbia known as an economic, cultural, and administrative center of the Banat region.
  • D. Gornji Grad
    Gornji Grad is the historic upper town of Zagreb, known for its medieval streets, landmarks like St. Mark’s Church and the Stone Gate, and its role as the city’s political and cultural center.
  • E. Stari Grad
    Stari Grad is the historic central municipality of Belgrade, known for its old town architecture, cultural landmarks, and key administrative and commercial areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abbabf7cdc81909636dff34badc1c5 completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3069f78c819092a6d9d903e4df13 completed March 9, 2026, 2:28 a.m.
Created at: March 4, 2026, 7:43 p.m.