Triple

T3235973
Position Surface form Disambiguated ID Type / Status
Subject Galați E67855 entity
Predicate isCountySeatOf P383 FINISHED
Object Galați County E340224 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: Galați County | Statement: [Galați, isCountySeatOf, Galați County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galați County
Context triple: [Galați, isCountySeatOf, Galați County]
  • A. Galați County chosen
    Galați County is an administrative region in eastern Romania, situated along the Danube River and centered around the city of Galați.
  • B. 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.
  • C. Constanța County
    Constanța County is an administrative region in southeastern Romania on the Black Sea coast, known for its major port city of Constanța and popular seaside resorts.
  • D. Argeș County
    Argeș County is an administrative region in southern Romania, known for encompassing part of the Southern Carpathians and including Romania’s highest peak, Moldoveanu.
  • E. Vâlcea County
    Vâlcea County is an administrative region in south-central Romania, known for its mountainous landscapes, spa resorts, and historical monasteries.
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaee05d34819095dbce4db6ac8613 completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ea696a08190a17cbeeef7632977 completed March 12, 2026, 10 a.m.
Created at: March 8, 2026, 3:08 p.m.