Triple

T3236128
Position Surface form Disambiguated ID Type / Status
Subject Danube Delta E67858 entity
Predicate region 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: [Danube Delta, region, Dobruja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dobruja
Context triple: [Danube Delta, region, 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. 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.
  • C. Syrmia
    Syrmia is a historical region in the Pannonian Plain, located between the Danube and Sava rivers in present-day Serbia and Croatia.
  • D. Vlahi
    Vlahi are an ethnographic group in Istria who identify as Vlachs, a Romance-speaking people historically spread across parts of the Balkans.
  • E. Banat
    Banat is a historical region in Central Europe, now divided among Romania, Serbia, and Hungary, known for its ethnic diversity and multicultural heritage.
  • 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_69b277459d1081909766934ce6a56091 completed March 12, 2026, 8:20 a.m.
Created at: March 8, 2026, 3:08 p.m.