Triple

T18374864
Position Surface form Disambiguated ID Type / Status
Subject Békéscsaba E446284 entity
Predicate twinCity P1072 FINISHED
Object Timisoara NE NERFINISHED

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: Timisoara | Statement: [Békéscsaba, twinCity, Timisoara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timisoara
Context triple: [Békéscsaba, twinCity, Timisoara]
  • A. Craiova
    Craiova is a major city in southwestern Romania, known as an important economic, cultural, and university center of the historical region of Oltenia.
  • B. Timișoara chosen
    Timișoara is a major city in western Romania known for its historical architecture, multicultural heritage, and role as a key economic and cultural center.
  • C. Cluj-Napoca
    Cluj-Napoca is a major city in northwestern Romania, known as a cultural, academic, and economic hub of the Transylvania region.
  • D. Cluj-Gherla
    Cluj-Gherla is a Romanian Catholic diocese centered in the Transylvanian region, serving as an important ecclesiastical jurisdiction within the local church hierarchy.
  • E. Bucharest
    Bucharest is the capital and largest city of Romania, known for its mix of historic architecture, wide boulevards, and its role as the country’s political, cultural, and economic center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51757a75c8190814db973ae1a86cd completed April 19, 2026, 5:56 p.m.
Created at: April 10, 2026, 10:45 a.m.