Triple

T18702796
Position Surface form Disambiguated ID Type / Status
Subject Roman, Romania E457292 entity
Predicate hasNearbyCity P350 FINISHED
Object Bacău NE NERFINISHED

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: Bacău | Statement: [Roman, Romania, hasNearbyCity, Bacău]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bacău
Context triple: [Roman, Romania, hasNearbyCity, Bacău]
  • A. Bacău chosen
    Bacău is a city in eastern Romania, serving as the administrative center of Bacău County and an important regional industrial and cultural hub in the historical region of Moldavia.
  • 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. Brăila
    Brăila is a major port city on the Danube River in eastern Romania, known historically as an important commercial and industrial center.
  • D. Buzău
    Buzău is a city in southeastern Romania, serving as the capital of Buzău County and an important regional economic and cultural center.
  • E. Botoșani
    Botoșani is a city in northeastern Romania known as a cultural and historical center of the Moldavia region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56714d0588190ac050356bc2784fd completed April 19, 2026, 11:36 p.m.
Created at: April 10, 2026, 11:49 a.m.