Triple

T11627179
Position Surface form Disambiguated ID Type / Status
Subject Iași County E276301 entity
Predicate bordersWith P224 FINISHED
Object Vaslui County E929927 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 County | Statement: [Iași County, bordersWith, Vaslui County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vaslui County
Context triple: [Iași County, bordersWith, Vaslui County]
  • A. Vaslui County chosen
    Vaslui County is an administrative region in eastern Romania known for its historical towns and predominantly rural landscape.
  • B. Mehedinți County
    Mehedinți County is an administrative region in southwestern Romania, situated along the Danube River and known for its diverse landscapes and historical sites.
  • C. Teleorman County
    Teleorman County is an administrative region in southern Romania, known for its predominantly rural landscape and location within the historical region of Muntenia.
  • D. Olt County
    Olt County is an administrative region in southern Romania, known for its agricultural landscape and location along the lower course of the Olt River.
  • E. Alba County
    Alba County is an administrative region in central Romania, known for its historic city of Alba Iulia and its location in the Transylvania area.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a1259cd08190a75eeacb5e39b858 completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef82a205f08190b1c0e856fdeece11 completed April 27, 2026, 3:37 p.m.
Created at: April 8, 2026, 9:39 p.m.