Triple

T10370633
Position Surface form Disambiguated ID Type / Status
Subject Byzantine–Visigothic conflicts E244372 entity
Predicate hasParticipant P149 FINISHED
Object Sisebut E233967 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: Sisebut | Statement: [Byzantine–Visigothic conflicts, hasParticipant, Sisebut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sisebut
Context triple: [Byzantine–Visigothic conflicts, hasParticipant, Sisebut]
  • A. Sisebut chosen
    Sisebut was an early 7th-century king of the Visigoths known for his military campaigns against the Byzantines in Hispania and his promotion of Christianity, including forced conversions of Jews.
  • B. Saisiyat
    The Saisiyat are one of Taiwan’s indigenous Austronesian-speaking peoples, known for their distinctive culture and the legendary Pasta’ay (Dwarf) ritual.
  • C. Siasi
    Siasi is an island municipality in the southern Philippines known for its predominantly Muslim population, fishing-based economy, and location within the Sulu Sea.
  • D. Sijilmasa
    Sijilmasa was a medieval Moroccan oasis city that flourished as a key commercial hub linking North Africa with sub-Saharan gold and trade networks.
  • E. Seizi
    Seizi is an alternative romanized spelling of the Japanese given name "Seiji."
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9737cfc81909d6302bd4177d186 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7955bb0ec8190b4d1da4af981436a completed April 9, 2026, 12:02 p.m.
Created at: April 6, 2026, 12:01 p.m.