Triple

T12506571
Position Surface form Disambiguated ID Type / Status
Subject Alba County E298962 entity
Predicate hasCity P316 FINISHED
Object Blaj E289438 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: Blaj | Statement: [Alba County, hasCity, Blaj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blaj
Context triple: [Alba County, hasCity, Blaj]
  • A. Blaj chosen
    Blaj is a historic city in central Romania known as an important cultural and religious center, particularly for its role in the Romanian national awakening and as a hub of the Romanian Greek Catholic Church.
  • B. Târgoviște
    Târgoviște is a historic city in southern Romania, known as a former Wallachian capital and the site where Nicolae Ceaușescu was executed in 1989.
  • C. Brasova
    Brasova is the surname of Countess Natalia Brasova, a Russian noblewoman best known as the morganatic wife of Grand Duke Michael Alexandrovich of Russia.
  • D. Tighina
    Tighina is a historic city in present-day Moldova, also known as Bender, which has long held strategic importance on the Dniester River.
  • E. Balș
    Balș is a small town in southern Romania, situated in Olt County and known for its local industry and agricultural surroundings.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541ace208190a5149b6f18fa196d completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b82189081908deb76cdd4e65245 completed May 3, 2026, 12:49 a.m.
Created at: April 8, 2026, 9:57 p.m.