Triple

T10092363
Position Surface form Disambiguated ID Type / Status
Subject Constanța County E215372 entity
Predicate contains P35 FINISHED
Object Eforie Sud E841862 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: Eforie Sud | Statement: [Constanța County, contains, Eforie Sud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eforie Sud
Context triple: [Constanța County, contains, Eforie Sud]
  • A. Eforie chosen
    Eforie is a Romanian Black Sea resort town known for its beaches and therapeutic mud treatments.
  • B. Râmnicu Sărat
    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.
  • C. 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.
  • D. Tulcea
    Tulcea is a city in southeastern Romania that serves as a key gateway to the Danube Delta and an important regional port and cultural center.
  • E. Bârlad
    Bârlad is a town in eastern Romania, historically part of the Moldavia region and known as a local cultural and educational 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd05c3c0c8190927580717429a4e5 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d3697d5b008190b274a086172c7a7d completed April 6, 2026, 8:06 a.m.
Created at: March 30, 2026, 9:01 p.m.