Triple

T22860856
Position Surface form Disambiguated ID Type / Status
Subject Moldavia E566917 entity
Predicate hasCapital P204 FINISHED
Object Focșani NE NERFINISHED

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: Focșani | Statement: [Moldavia, hasCapital, Focșani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Focșani
Context triple: [Moldavia, hasCapital, Focșani]
  • A. Focșani chosen
    Focșani is a city in eastern Romania, historically part of the Moldavia–Wallachia border region and known as a regional cultural and administrative center.
  • B. Fălticeni
    Fălticeni is a town in northeastern Romania known for its cultural heritage and historical architecture.
  • C. Târgu Frumos
    Târgu Frumos is a small town in northeastern Romania, known as a local commercial and transit center within Iași County in the historical region of Moldavia.
  • D. Băilești
    Băilești is a town in southwestern Romania, in Dolj County, known as a local agricultural and commercial center.
  • E. Râmnicu Vâlcea
    Râmnicu Vâlcea is a city in south-central Romania, located on the Olt River and serving as the capital of Vâlcea County.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24589083081908d5694c4fdc80086 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17efcc1308190a95d10e431295ca2 completed April 29, 2026, 3:46 a.m.
Created at: April 17, 2026, 3:37 p.m.