Triple

T8018072
Position Surface form Disambiguated ID Type / Status
Subject Pessac E186669 entity
Predicate hasTwinTown P919 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: [Pessac, hasTwinTown, Cluj-Napoca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cluj-Napoca
Context triple: [Pessac, hasTwinTown, 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_69ca82ac7fc081909b1398cf025423af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3df626e8819098a9f8908dfdad3b completed March 31, 2026, 3:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccecb951e8819095679598ec3a1714 completed April 1, 2026, 10 a.m.
Created at: March 30, 2026, 5:20 p.m.