Triple

T4495712
Position Surface form Disambiguated ID Type / Status
Subject Spišská Nová Ves E100688 entity
Predicate hasTwinTown P919 FINISHED
Object Suceava E406724 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: Suceava | Statement: [Spišská Nová Ves, hasTwinTown, Suceava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suceava
Context triple: [Spišská Nová Ves, hasTwinTown, Suceava]
  • A. Suceava chosen
    Suceava is a historic city in northeastern Romania that once served as the capital of the medieval Principality of Moldavia and is today an important cultural and economic center of the Bukovina region.
  • B. Bârlad
    Bârlad is a town in eastern Romania, historically part of the Moldavia region and known as a local cultural and educational center.
  • C. Râmnicu Vâlcea
    Râmnicu Vâlcea is a city in south-central Romania, located on the Olt River and serving as the capital of Vâlcea County.
  • D. Mediaș
    Mediaș is a historic town in central Romania’s Transylvania region, known for its well-preserved medieval architecture and long-standing Transylvanian Saxon heritage.
  • 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_69bd43cdf15081909a4fa2585ff63b3e completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56bde14c819091d42839a46291d0 completed March 20, 2026, 2:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd6f8190e88190aec651ac9fe9ef92 completed March 20, 2026, 4:02 p.m.
Created at: March 20, 2026, 1 p.m.