Triple

T8803641
Position Surface form Disambiguated ID Type / Status
Subject Leo V of Armenia E209469 entity
Predicate residence P75 FINISHED
Object Sis E202451 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: Sis | Statement: [Leo V of Armenia, residence, Sis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sis
Context triple: [Leo V of Armenia, residence, Sis]
  • A. Sis chosen
    Sis was the medieval capital city of the Armenian Kingdom of Cilicia, serving as its political and cultural center.
  • B. Sis
    Sis is a Turkish film written and directed by Zülfü Livaneli that explores political repression and personal trauma in the aftermath of the 1980 military coup in Turkey.
  • C. SIS
    SIS is the commonly used abbreviation for the United Kingdom’s Secret Intelligence Service, the foreign intelligence agency often referred to as MI6.
  • D. SIS
    SIS is the CERN Scientific Information Service, responsible for managing and providing access to the organization’s scientific publications, data, and library resources.
  • E. Sius
    Sius is the Ladin name for Seis am Schlern, a village in South Tyrol, northern Italy, known as a gateway to the Dolomites.
  • 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_69ca836320e48190b5cf585b90a322c4 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fbe15b081909e87dab6b5029d04 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f840d9c8190a88a61104969b0e5 completed April 3, 2026, 7:43 a.m.
Created at: March 30, 2026, 6:44 p.m.