Triple

T14067485
Position Surface form Disambiguated ID Type / Status
Subject Siebenbürger Sachsen E338511 entity
Predicate traditionalCenters P112687 FINISHED
Object Mediasch (Mediaș) E968345 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: Mediasch (Mediaș) | Statement: [Siebenbürger Sachsen, traditionalCenters, Mediasch (Mediaș)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mediasch (Mediaș)
Context triple: [Siebenbürger Sachsen, traditionalCenters, Mediasch (Mediaș)]
  • A. Mediasch – Mediaș chosen
    Mediasch – Mediaș is a historic Transylvanian town in central Romania, known for its well-preserved medieval architecture and fortified church.
  • B. Municipiul Mediaș
    Municipiul Mediaș is a city in central Romania, located in Sibiu County, known for its well-preserved medieval architecture and historical significance in the Transylvanian region.
  • C. Bârlad
    Bârlad is a town in eastern Romania, historically part of the Moldavia region and known as a local cultural and educational center.
  • D. Râmnicu Vâlcea
    Râmnicu Vâlcea is a city in south-central Romania, located on the Olt River and serving as the capital of Vâlcea County.
  • E. Băilești
    Băilești is a town in southwestern Romania, in Dolj County, known as a local agricultural and commercial 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de568b81f08190a571004261c0e8e4 completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb66aeff8819088239226bbe25fd5 completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:21 p.m.