Triple

T15050524
Position Surface form Disambiguated ID Type / Status
Subject Nor Bayazet district E379346 entity
Predicate namedAfter P63 FINISHED
Object Nor Bayazet E379347 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: Nor Bayazet | Statement: [Nor Bayazet district, namedAfter, Nor Bayazet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nor Bayazet
Context triple: [Nor Bayazet district, namedAfter, Nor Bayazet]
  • A. Nor Bayazet chosen
    Nor Bayazet is a historical name for a town in Armenia that served as the administrative center of the Novo-Bayazet uezd in the Russian Empire.
  • B. Bawshar
    Bawshar is a district in Muscat, Oman, known as a major urban area that includes important landmarks, commercial centers, and residential neighborhoods.
  • C. Butrus
    Butrus is an alternative transliteration of the Arabic given name "Boutros," itself derived from "Peter."
  • D. Sahnun
    Sahnun was a prominent 9th-century Islamic jurist from North Africa whose compilation of legal opinions, the Mudawwana, became a foundational text of the Maliki school of Sunni jurisprudence.
  • E. Lahur Talabany
    Lahur Talabany is a prominent Kurdish politician and intelligence figure who has served as a senior leader within the Patriotic Union of Kurdistan and played a key role in regional security and counterterrorism efforts.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69deda8f71988190b4fe7f7de4ccb798 completed April 15, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69feb7db6f0081909ab35435c1e4ad13 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 3:01 a.m.