Triple

T13711712
Position Surface form Disambiguated ID Type / Status
Subject Pazardzhik E328786 entity
Predicate hasTwinTown P919 FINISHED
Object Băilești E439643 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: Băilești | Statement: [Pazardzhik, hasTwinTown, Băilești]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Băilești
Context triple: [Pazardzhik, hasTwinTown, Băilești]
  • A. Băilești chosen
    Băilești is a town in southwestern Romania, in Dolj County, known as a local agricultural and commercial center.
  • B. Balș
    Balș is a small town in southern Romania, situated in Olt County and known for its local industry and agricultural surroundings.
  • C. Bușteni
    Bușteni is a Romanian mountain resort town in the Prahova Valley, known for its access to the Bucegi Mountains and popular skiing and hiking opportunities.
  • D. Bârlad
    Bârlad is a town in eastern Romania, historically part of the Moldavia region and known as a local cultural and educational center.
  • E. Buzău
    Buzău is a city in southeastern Romania, serving as the capital of Buzău County and an important regional economic and cultural 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd4395e8c0819098719c8cd344aa33 completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfcbbf408190a87f471d2732148b completed May 9, 2026, 5:02 a.m.
Created at: April 9, 2026, 9:54 p.m.