Triple

T14714339
Position Surface form Disambiguated ID Type / Status
Subject Tulcea County E345637 entity
Predicate locatedInRegion P40 FINISHED
Object Dobruja E53452 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: Dobruja | Statement: [Tulcea County, locatedInRegion, Dobruja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dobruja
Context triple: [Tulcea County, locatedInRegion, Dobruja]
  • A. Dobruja chosen
    Dobruja is a historical region in southeastern Europe along the Black Sea coast, divided between Romania and Bulgaria and known for its diverse cultural heritage and strategic location.
  • B. Предбалкан
    Предбалкан е географска област в България, представляваща преходната хълмиста зона между Дунавската равнина и Стара планина.
  • C. Roumeli
    Roumeli is a historical region in central Greece that played a key role in the Greek War of Independence.
  • D. Balkanabat
    Balkanabat is a significant urban and administrative center in western Turkmenistan, known for serving as a regional hub for the country's oil and gas industry.
  • E. Syrmia
    Syrmia is a historical region in the Pannonian Plain, located between the Danube and Sava rivers in present-day Serbia and Croatia.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb98513b081908b230f6ac79c72ad completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf0913d6c8190886df4cd0a92aa80 completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:29 a.m.