Triple

T14504459
Position Surface form Disambiguated ID Type / Status
Subject Siret E340227 entity
Predicate flowsThrough P225 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: [Siret, flowsThrough, Galați County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galați County
Context triple: [Siret, flowsThrough, 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. Călărași County
    Călărași County is an administrative region in southeastern Romania, located in the historical region of Muntenia along the Danube River and bordering Bulgaria.
  • D. Neamț County
    Neamț County is an administrative region in northeastern Romania, known for its mountainous landscapes, monasteries, and rich cultural and historical heritage.
  • E. 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.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e25a2481908b8394e9a19f3b64 completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00179824c88190aeef28a08eb1a0c9 completed May 10, 2026, 5:28 a.m.
Created at: April 10, 2026, 1:21 a.m.