Triple

T20244414
Position Surface form Disambiguated ID Type / Status
Subject Leo II of Armenia E498383 entity
Predicate capitalDuringReign P9119 FINISHED
Object Sis 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: Sis | Statement: [Leo II of Armenia, capitalDuringReign, Sis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sis
Context triple: [Leo II of Armenia, capitalDuringReign, 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. Sise
    Sise is a surname most notably associated with Charles Fleetford Sise, a prominent Canadian telecommunications executive and early leader of Bell Canada.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e673a10ab48190a408a5d2c2b0808b completed April 20, 2026, 6:42 p.m.
Created at: April 11, 2026, 11:40 p.m.