Triple

T16182561
Position Surface form Disambiguated ID Type / Status
Subject Mircea Dinescu E392720 entity
Predicate placeOfBirth P1 FINISHED
Object Slobozia E876531 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: Slobozia | Statement: [Mircea Dinescu, placeOfBirth, Slobozia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slobozia
Context triple: [Mircea Dinescu, placeOfBirth, Slobozia]
  • A. Slobozia chosen
    Slobozia is a city in southeastern Romania that serves as the capital of Ialomița County and an important local administrative and economic center.
  • B. Medgidia
    Medgidia is a city in southeastern Romania, situated in the historical region of Dobruja and known as an important local industrial and transportation hub.
  • C. Shpola
    Shpola is a small town in central Ukraine that serves as an administrative center within Cherkasy Oblast.
  • D. Krasnobród
    Krasnobród is a small town in southeastern Poland known for its historical role in World War II and as a local tourist and spa destination in the Roztocze region.
  • E. Bistritz
    Bistritz is a historic Transylvanian town, known today as Bistrița in Romania, with medieval Saxon roots and a well-preserved old center.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205ef39081908da383abdebc2ccc completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffff03400481908e66db8cf0213c15 completed May 10, 2026, 3:44 a.m.
Created at: April 10, 2026, 5:02 a.m.