Triple

T6259272
Position Surface form Disambiguated ID Type / Status
Subject Sanz-Klausenburg E140252 entity
Predicate placeOfOrigin P3743 FINISHED
Object Cluj-Napoca E175386 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: Cluj-Napoca | Statement: [Sanz-Klausenburg, placeOfOrigin, Cluj-Napoca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cluj-Napoca
Context triple: [Sanz-Klausenburg, placeOfOrigin, Cluj-Napoca]
  • A. Cluj-Napoca chosen
    Cluj-Napoca is a major city in northwestern Romania, known as a cultural, academic, and economic hub of the Transylvania region.
  • 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. 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.
  • D. Craiova
    Craiova is a major city in southwestern Romania, known as an important economic, cultural, and university center of the historical region of Oltenia.
  • E. Arad
    Arad is a major city in western Romania known for its historical architecture, cultural heritage, and role as an important industrial and transportation hub near the Hungarian border.
  • 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_69c008c95c5c819084bd3dd56133d84d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06383616c819090c7994740317564 completed March 22, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c24444b85c8190adf09c473b42ea9b completed March 24, 2026, 7:59 a.m.
Created at: March 22, 2026, 4:24 p.m.