Triple

T11068195
Position Surface form Disambiguated ID Type / Status
Subject Armeno-Tat E261677 entity
Predicate hasAlternativeName P39 FINISHED
Object Armenian Tat E261677 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: Armenian Tat | Statement: [Armeno-Tat, hasAlternativeName, Armenian Tat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armenian Tat
Context triple: [Armeno-Tat, hasAlternativeName, Armenian Tat]
  • A. Armeno-Tat chosen
    Armeno-Tat is a dialect of the Tat language historically spoken by Armenian communities in the South Caucasus region.
  • B. Armen
    Armen is a masculine given name of Armenian origin, commonly used in Armenia and among the Armenian diaspora.
  • C. Armen Garo
    Armen Garo was an Armenian Ottoman revolutionary and politician who became a leading figure in the Armenian national movement and later served as the first ambassador of the First Republic of Armenia to the United States.
  • D. Armenian language
    Armenian is an Indo-European language with its own unique alphabet, primarily spoken in Armenia and among Armenian communities worldwide.
  • E. Ghukasyan
    Ghukasyan is an Armenian surname most notably borne by Arkadi Ghukasyan, a former president of the Republic of Artsakh (Nagorno-Karabakh).
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7992164d88190a01ed567b2529227 completed April 9, 2026, 12:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c8b2d6e881909eeddf1e6427ad5c completed April 18, 2026, 6:08 p.m.
Created at: April 8, 2026, 9:26 p.m.