Triple

T8109314
Position Surface form Disambiguated ID Type / Status
Subject Ploiești Sud railway station E189306 entity
Predicate connectsToCity P4245 FINISHED
Object Buzău E644408 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: Buzău | Statement: [Ploiești Sud railway station, connectsToCity, Buzău]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buzău
Context triple: [Ploiești Sud railway station, connectsToCity, Buzău]
  • A. Buzău chosen
    Buzău is a city in southeastern Romania, serving as the capital of Buzău County and an important regional economic and cultural center.
  • B. Botoșani
    Botoșani is a city in northeastern Romania known as a cultural and historical center of the Moldavia region.
  • C. Băilești
    Băilești is a town in southwestern Romania, in Dolj County, known as a local agricultural and commercial center.
  • D. Bârlad
    Bârlad is a town in eastern Romania, historically part of the Moldavia region and known as a local cultural and educational 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 (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_69ca82b9d5848190a24672775d5c5011 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42fbc57c81908c6be87bbc547085 completed March 31, 2026, 3:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce6ca1110c8190b72a2a573ddab06d completed April 2, 2026, 1:18 p.m.
Created at: March 30, 2026, 5:32 p.m.