Triple

T14438579
Position Surface form Disambiguated ID Type / Status
Subject Turda E358030 entity
Predicate partOf P40 FINISHED
Object Cluj metropolitan area 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 metropolitan area | Statement: [Turda, partOf, Cluj metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cluj metropolitan area
Context triple: [Turda, partOf, Cluj metropolitan area]
  • A. 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.
  • B. Cluj-Napoca chosen
    Cluj-Napoca is a major city in northwestern Romania, known as a cultural, academic, and economic hub of the Transylvania region.
  • C. 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.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de914a45ec81909ab8ccf302047d7f completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfcd67f081909f97bcf38d814a13 completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 1:18 a.m.