Triple

T9685661
Position Surface form Disambiguated ID Type / Status
Subject Szamos E234400 entity
Predicate hasNameInRomanian P23117 FINISHED
Object Someș E686222 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: Someș | Statement: [Szamos, hasNameInRomanian, Someș]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Someș
Context triple: [Szamos, hasNameInRomanian, Someș]
  • A. Onești
    Onești is a town in Bacău County, Romania, best known internationally as the birthplace of legendary gymnast Nadia Comăneci.
  • B. Reșița
    Reșița is an industrial city in western Romania, historically known as a major center of steel production and engineering in the Banat region.
  • C. Someșul Mic chosen
    Someșul Mic is a river in northwestern Romania that flows through the city of Cluj-Napoca and forms part of the Someș River system.
  • D. Oltenița
    Oltenița is a town in southern Romania on the banks of the Danube River, historically noted as the site of the Battle of Oltenitza during the Crimean War.
  • E. Cernavodă
    Cernavodă is a town in southeastern Romania best known for its major Danube–Black Sea Canal port and the nearby Cernavodă Nuclear Power Plant.
  • 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_69ca84ca73208190957a900c8543bdcc completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9cd0877c81909fde1989d946aae9 completed April 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1910b7c148190b9061b1ce0520e8b completed April 4, 2026, 10:30 p.m.
Created at: March 30, 2026, 8:16 p.m.