Triple

T21238469
Position Surface form Disambiguated ID Type / Status
Subject Shirak State University E523408 entity
Predicate country P26 FINISHED
Object Armenia NE NERFINISHED

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: Armenia | Statement: [Shirak State University, country, Armenia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armenia
Context triple: [Shirak State University, country, Armenia]
  • A. Armenia chosen
    Armenia is a landlocked country in the South Caucasus region of Eurasia, known for its ancient Christian heritage, mountainous landscapes, and historical role as one of the world's oldest civilizations.
  • B. Armenia
    Armenia is a city in Colombia’s Coffee Region, known for its role as a major urban center in the Quindío department and its proximity to scenic Andean landscapes.
  • C. Armenia
    Armenia is a village in the Cayo District of western Belize, known for its primarily Maya and Mestizo population and its location along the Hummingbird Highway.
  • D. Persarmenia
    Persarmenia was the eastern, Sasanian-controlled portion of historic Armenia that existed under Persian rule during the late antique period.
  • E. Arab Armenia
    Arab Armenia was a historical period in the early Middle Ages when Armenia came under the political and administrative control of the Arab Caliphate.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b513b89c81908b27147e91368db2 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73521eb7c8190b1b97b42d0d052c3 completed April 21, 2026, 8:28 a.m.
Created at: April 16, 2026, 3:46 p.m.