Triple

T10640624
Position Surface form Disambiguated ID Type / Status
Subject Muntenia E250709 entity
Predicate containsCity P294 FINISHED
Object Râmnicu Sărat E340102 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: Râmnicu Sărat | Statement: [Muntenia, containsCity, Râmnicu Sărat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Râmnicu Sărat
Context triple: [Muntenia, containsCity, Râmnicu Sărat]
  • A. Râmnicu Sărat chosen
    Râmnicu Sărat is a town in eastern Romania, historically known as a market and military center and for the nearby former political prison that operated during the communist era.
  • B. Bârlad
    Bârlad is a town in eastern Romania, historically part of the Moldavia region and known as a local cultural and educational center.
  • C. Eforie
    Eforie is a Romanian Black Sea resort town known for its beaches and therapeutic mud treatments.
  • D. Râmnicu Vâlcea
    Râmnicu Vâlcea is a city in south-central Romania, located on the Olt River and serving as the capital of Vâlcea County.
  • E. Baia Mare
    Baia Mare is a city in northwestern Romania known for its mining history, surrounding Carpathian landscapes, and role as an important regional cultural and economic center.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfcd19648190882380d2c90be486 completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e6afdf0c8190924cb14512a89ee8 completed April 18, 2026, 8:16 p.m.
Created at: April 8, 2026, 9:04 p.m.