Triple

T9311283
Position Surface form Disambiguated ID Type / Status
Subject medieval Kingdom of Alania E224011 entity
Predicate language P15 FINISHED
Object Alanic E43487 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: Alanic | Statement: [medieval Kingdom of Alania, language, Alanic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alanic
Context triple: [medieval Kingdom of Alania, language, Alanic]
  • A. Aspar
    Aspar was a powerful 5th-century Alan general and kingmaker in the Eastern Roman Empire who dominated imperial politics from behind the throne.
  • B. Alans chosen
    The Alans were an ancient nomadic Iranian people known for their cavalry and for participating in major events of the late Roman Empire, including the Vandal-led sack of Rome in 455.
  • C. Usipetes
    The Usipetes were an ancient Germanic tribe known from Roman accounts, particularly Julius Caesar’s writings, as inhabitants near the Rhine who frequently migrated and clashed with neighboring peoples and Rome.
  • D. Dulo
    Dulo was the early medieval ruling dynasty of the Bulgars, traditionally associated with Khan Asparuh and the founding of the First Bulgarian Empire.
  • E. Niçard
    Niçard is a regional variety of the Occitan language traditionally spoken in and around the city of Nice in southeastern France.
  • 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_69ca8425f4fc81909c1c586e9a5b7530 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd20ad3b20819092562c30e70a528f completed April 1, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c797640c8190be003e321faf3b86 completed April 4, 2026, 8:11 a.m.
Created at: March 30, 2026, 7:37 p.m.