Triple

T5792243
Position Surface form Disambiguated ID Type / Status
Subject Persian carpet E128421 entity
Predicate hasProductionRegion P3992 FINISHED
Object Shiraz E62427 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: Shiraz | Statement: [Persian carpet, hasProductionRegion, Shiraz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shiraz
Context triple: [Persian carpet, hasProductionRegion, Shiraz]
  • A. Shiraz
    Shiraz is a dark-skinned wine grape variety, also known as Syrah, widely used to produce full-bodied red wines around the world.
  • B. Shiraz, Iran chosen
    Shiraz, Iran is a historic city in southwestern Iran renowned for its rich Persian cultural heritage, poetry, gardens, and wine-making tradition.
  • C. Shirazi
    The Shirazi are a coastal East African ethnic group of mixed African and Persian ancestry, historically influential in the culture and Islamization of regions like Zanzibar.
  • D. Kerman
    Kerman is a small city in California’s San Joaquin Valley, known for its agricultural economy and location west of Fresno.
  • E. Kerman
    Kerman is a major city in southeastern Iran known for its rich history, traditional bazaars, and proximity to desert landscapes.
  • 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_69c00845ca68819081a2ce3ecca577f7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03360749481908d42fde7a74a754f completed March 22, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09824c7f0819095565e0f29b3a508 completed March 23, 2026, 1:32 a.m.
Created at: March 22, 2026, 3:51 p.m.