Triple

T14504304
Position Surface form Disambiguated ID Type / Status
Subject Eastern Romania E340223 entity
Predicate hasCity P316 FINISHED
Object Vaslui E751866 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: Vaslui | Statement: [Eastern Romania, hasCity, Vaslui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vaslui
Context triple: [Eastern Romania, hasCity, Vaslui]
  • A. Vaslui chosen
    Vaslui is a city in eastern Romania, serving as the capital of Vaslui County and known for its historical significance in the Moldavia region.
  • B. Vaslui River
    The Vaslui River is a watercourse in eastern Romania that flows through Vaslui County and serves as a tributary within the regional river network.
  • C. Bacau
    Bacău is a city in northeastern Romania, known as an important industrial and cultural center of the historical region of Moldavia.
  • D. Vișeu River
    The Vișeu River is a significant watercourse in northern Romania that flows through the Maramureș region and its traditional villages before joining the Tisa River near the Ukrainian border.
  • E. Iecava
    Iecava is a river in Latvia that serves as one of the tributaries feeding into the larger Lielupe River system.
  • 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_69fda90e1778819095f5ac8848120098 completed May 8, 2026, 9:12 a.m.
Created at: April 10, 2026, 1:21 a.m.