Triple

T23199410
Position Surface form Disambiguated ID Type / Status
Subject Rodna Mountains E579965 entity
Predicate hasSettlementNearby P7611 FINISHED
Object Borșa 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: Borșa | Statement: [Rodna Mountains, hasSettlementNearby, Borșa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borșa
Context triple: [Rodna Mountains, hasSettlementNearby, Borșa]
  • A. Borșa chosen
    Borșa is a mountain town in northern Romania known for its scenic landscapes, proximity to the Rodna and Maramureș Mountains, and traditional Maramureș culture.
  • B. Borsec
    Borsec is a Romanian spa town in the Eastern Carpathians, renowned for its mineral springs and bottled mineral water.
  • C. Bistrita
    Bistrița is a historic city in northern Romania, known for its medieval architecture and role as a cultural and economic center of the Transylvania region.
  • D. Budești
    Budești is a locality in Romania situated along the Argeș River.
  • E. Orșova
    Orșova is a town in southwestern Romania situated on the Danube River, known as a river port and gateway to the scenic Iron Gates gorge.
  • 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_69e24600eed08190bd7e5295653a1503 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1907835448190aa4fc234d15527c3 completed April 29, 2026, 5 a.m.
Created at: April 17, 2026, 4:06 p.m.