Triple

T12043450
Position Surface form Disambiguated ID Type / Status
Subject European route E70 E286722 entity
Predicate passesThroughCity P416 FINISHED
Object Craiova E197088 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: Craiova | Statement: [European route E70, passesThroughCity, Craiova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Craiova
Context triple: [European route E70, passesThroughCity, Craiova]
  • A. Craiova chosen
    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
    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. Ploiești
    Ploiești is a major city in southern Romania historically known for its oil industry and strategic importance during World War II.
  • 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. Cluj-Napoca
    Cluj-Napoca is a major city in northwestern Romania, known as a cultural, academic, and economic hub of the Transylvania region.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040d13108190bd1a969fa62aae5a completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8b788308190bd9c3b68569bc56a completed May 3, 2026, 2:53 a.m.
Created at: April 8, 2026, 9:47 p.m.