Triple

T10113508
Position Surface form Disambiguated ID Type / Status
Subject Declaration of the Báb E218298 entity
Predicate placeOfEvent P373 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: [Declaration of the Báb, placeOfEvent, Shiraz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shiraz
Context triple: [Declaration of the Báb, placeOfEvent, 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. شیراز
    شیراز یکی از مهم‌ترین و تاریخی‌ترین شهرهای ایران است که به‌عنوان مرکز فرهنگ، ادب و شعر فارسی شناخته می‌شود.
  • D. 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.
  • E. Kashan
    Kashan is an Iranian city renowned for its rich history, traditional architecture, and production of high-quality Persian carpets.
  • 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_69ca83da93fc8190b54e44bc2b34857c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd15ed28081909a812e0634799ef8 completed April 2, 2026, 2:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc20ff4481909cdd916e92eda2f6 completed April 5, 2026, 8:54 p.m.
Created at: March 30, 2026, 9:04 p.m.