Triple

T1472670
Position Surface form Disambiguated ID Type / Status
Subject Old South Arabian E27170 entity
Predicate hasVariant P455 FINISHED
Object Sabaean E68213 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: Sabaean | Statement: [Old South Arabian, hasVariant, Sabaean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sabaean
Context triple: [Old South Arabian, hasVariant, Sabaean]
  • A. Sabaic chosen
    Sabaic is an ancient South Arabian Semitic language once used in inscriptions and documents in what is now Yemen.
  • B. Old South Arabian
    Old South Arabian is an extinct group of ancient Semitic languages once spoken in what is now Yemen and surrounding regions, known primarily from inscriptions written in a distinctive consonantal script.
  • C. Himyar
    Himyar was an influential ancient South Arabian kingdom that flourished in what is now Yemen, known for its role in regional trade and early Semitic culture.
  • D. Elamite
    Elamite is an ancient language of southwestern Iran, historically used in the kingdom of Elam and later as an administrative language under the Achaemenid Empire.
  • E. Phoenician language
    The Phoenician language was an ancient Northwest Semitic tongue, written in a consonantal alphabet that became the ancestor of many later writing systems, including Greek and Latin scripts.
  • 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_69a496d25d6881909dbd84f86d763992 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c5dc90e481908a4935f266bc7850 completed March 1, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad15a74fbc8190b53511713032dc63 completed March 8, 2026, 6:22 a.m.
Created at: March 1, 2026, 8:01 p.m.