Triple

T2628671
Position Surface form Disambiguated ID Type / Status
Subject Banat Swabians E59180 entity
Predicate historicalRegionIncludes P285 FINISHED
Object Timișoara E178257 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: Timișoara | Statement: [Banat Swabians, historicalRegionIncludes, Timișoara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timișoara
Context triple: [Banat Swabians, historicalRegionIncludes, Timișoara]
  • A. 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.
  • B. Craiova
    Craiova is a major city in southwestern Romania, known as an important economic, cultural, and university center of the historical region of Oltenia.
  • 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. 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.
  • E. Ploiești
    Ploiești is a major city in southern Romania historically known for its oil industry and strategic importance during World War II.
  • 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_69ab4ac558388190962492cd2e1b0ce6 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8c2e3d88190a972f58356f282cc completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d3d6a54819090068ef1807ca921 completed March 10, 2026, 1:31 p.m.
Created at: March 6, 2026, 9:50 p.m.