Triple

T13820684
Position Surface form Disambiguated ID Type / Status
Subject Arabia Petraea E332125 entity
Predicate namedAfter P63 FINISHED
Object Arabia E7627 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: Arabia | Statement: [Arabia Petraea, namedAfter, Arabia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arabia
Context triple: [Arabia Petraea, namedAfter, Arabia]
  • A. Arabistan
    Arabistan is a region associated with Arab separatist aspirations, particularly within the context of movements seeking autonomy or independence from Iran.
  • B. Arabian Peninsula chosen
    The Arabian Peninsula is a vast, predominantly desert region in Western Asia that is considered the historical heartland of Arab culture and the birthplace of Islam.
  • C. Saudi Arabia
    Saudi Arabia is a Middle Eastern kingdom on the Arabian Peninsula known for its vast oil reserves, custodianship of Islam’s holiest sites, and significant geopolitical influence.
  • D. Sulaymaniya
    Sulaymaniya is a sub-school within the Zaydi branch of Shia Islam, distinguished by its own specific theological and legal interpretations.
  • E. L’Algarabie
    L’Algarabie is a literary work by Spanish writer and political exile Jorge Semprún, reflecting his characteristic engagement with memory, identity, and the legacy of 20th-century European conflicts.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0282d4d08190b754cda7683408c4 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8e41f448190baabfd06d78b45b7 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:12 p.m.