Triple

T13432511
Position Surface form Disambiguated ID Type / Status
Subject Mashhad railway station E313646 entity
Predicate connectsTo P845 FINISHED
Object Shiraz
Shiraz is a major city in southwestern Iran renowned for its rich cultural heritage, poetry, and historic architecture.
 E62427 NE FINISHED

How this triple was built (4 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: [Mashhad railway station, connectsTo, Shiraz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shiraz
Context triple: [Mashhad railway station, connectsTo, 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
    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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Shiraz
Triple: [Mashhad railway station, connectsTo, Shiraz]
Generated description
Shiraz is a major city in southwestern Iran renowned for its rich cultural heritage, poetry, and historic architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shiraz
Target entity description: Shiraz is a major city in southwestern Iran renowned for its rich cultural heritage, poetry, and historic architecture.
  • 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.

Provenance (5 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaed41a5481908800033303224adb completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7398da07081908c3eca6fc4213930 completed May 3, 2026, 12:03 p.m.
NEDg Description generation batch_69f73b065818819095d26633fc682546 completed May 3, 2026, 12:09 p.m.
NED2 Entity disambiguation (via description) batch_69f73b8635888190b31035bc72676b9d completed May 3, 2026, 12:11 p.m.
Created at: April 9, 2026, 9:40 p.m.