Triple

T9460936
Position Surface form Disambiguated ID Type / Status
Subject Scythian languages E228141 entity
Predicate hasDialect P4251 FINISHED
Object Alanian E228142 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: Alanian | Statement: [Scythian languages, hasDialect, Alanian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alanian
Context triple: [Scythian languages, hasDialect, Alanian]
  • A. Alanian chosen
    Alanian is an extinct Eastern Iranian language historically spoken by the Alans, an ancient nomadic people of the North Caucasus and Eurasian steppe.
  • B. Armen
    Armen is a masculine given name of Armenian origin, commonly used in Armenia and among the Armenian diaspora.
  • C. Ashuri
    Ashuri was an ancient region or group under the rule of Ish-bosheth, a short-lived king of Israel mentioned in the Hebrew Bible.
  • D. Turoyo
    Turoyo is a modern Neo-Aramaic language traditionally spoken by Syriac Orthodox Christian communities from the Tur Abdin region of southeastern Turkey and neighboring areas.
  • E. Armenistis
    Armenistis is a coastal village and popular tourist resort on the Greek island of Ikaria, known for its beaches, tavernas, and relaxed atmosphere.
  • 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_69ca843b123881909b0e60028475d12d completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fcaf610819092bcd3b871665aa5 completed April 1, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12ce01b548190a30f6cc7f3084b06 completed April 4, 2026, 3:23 p.m.
Created at: March 30, 2026, 7:52 p.m.