Triple

T14504303
Position Surface form Disambiguated ID Type / Status
Subject Eastern Romania E340223 entity
Predicate hasCity P316 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: [Eastern Romania, hasCity, Suceava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suceava
Context triple: [Eastern Romania, hasCity, 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. Botoșani
    Botoșani is a city in northeastern Romania known as a cultural and historical center of the Moldavia region.
  • E. Călărași
    Călărași is a city in southeastern Romania, located near the Danube River and serving as the capital of Călărași County.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e25a2481908b8394e9a19f3b64 completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff8752207c81908369bce03b56b25e completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 1:21 a.m.