Triple

T13187203
Position Surface form Disambiguated ID Type / Status
Subject Nebit-Dag E313886 entity
Predicate partOf P40 FINISHED
Object Balkan Province E805778 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: Balkan Province | Statement: [Nebit-Dag, partOf, Balkan Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balkan Province
Context triple: [Nebit-Dag, partOf, Balkan Province]
  • A. Balkan Province chosen
    Balkan Province is a western region of Turkmenistan along the Caspian Sea, known for its oil and gas resources and diverse ethnic communities.
  • B. Illyrian Provinces
    The Illyrian Provinces were a short-lived administrative division of the French Empire under Napoleon, encompassing parts of the northern Adriatic and western Balkans in the early 19th century.
  • C. Roumeli
    Roumeli is a historical region in central Greece that played a key role in the Greek War of Independence.
  • D. Moesia Prima
    Moesia Prima was a late Roman province located in the central Balkans along the Danube frontier, in what is now mainly eastern Serbia.
  • E. Moesia
    Moesia was an ancient Roman province located in the Balkans along the Danube River, encompassing parts of present-day Serbia and Bulgaria.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c4b663c8190b0b18f0785f7b57d completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff1581388190824a5377b64bd0ef completed May 3, 2026, 7:53 a.m.
Created at: April 9, 2026, 9:15 p.m.