Triple

T14152263
Position Surface form Disambiguated ID Type / Status
Subject Sulina E350713 entity
Predicate locatedIn P40 FINISHED
Object Tulcea County E345637 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: Tulcea County | Statement: [Sulina, locatedIn, Tulcea County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tulcea County
Context triple: [Sulina, locatedIn, Tulcea County]
  • A. Tulcea County chosen
    Tulcea County is an administrative region in southeastern Romania, known for encompassing much of the Danube Delta and its rich biodiversity.
  • B. Brăila County
    Brăila County is an administrative region in southeastern Romania, situated along the Danube River and centered on the city of Brăila.
  • C. Giurgiu County
    Giurgiu County is an administrative region in southern Romania, located along the Danube River and bordering Bulgaria.
  • D. Ialomița County
    Ialomița County is an administrative region in southeastern Romania, located in the historical region of Muntenia and known for its predominantly agricultural landscape along the lower Danube Plain.
  • E. 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.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6124e23481909e5132a40a1d8624 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff7559f0448190a992f0770ac8227a completed May 9, 2026, 5:56 p.m.
Created at: April 10, 2026, 12:57 a.m.