Triple

T3217150
Position Surface form Disambiguated ID Type / Status
Subject Khorasan E67423 entity
Predicate majorCity P316 FINISHED
Object Sabzevar
Sabzevar is a historic and economically significant city in northeastern Iran, known as a regional center of trade, agriculture, and culture in the Khorasan area.
 E338361 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: Sabzevar | Statement: [Khorasan, majorCity, Sabzevar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sabzevar
Context triple: [Khorasan, majorCity, Sabzevar]
  • A. Zaranj
    Zaranj is a key border city in southwestern Afghanistan that serves as an important trade and transit hub with neighboring Iran.
  • B. Margilan
    Margilan is a historic city in eastern Uzbekistan renowned as a traditional center of silk production and trade along the Silk Road.
  • C. Sadras
    Sadras is a historic coastal town in Tamil Nadu, India, known for its Dutch-era fort and role as a former trading port on the Coromandel Coast.
  • D. Aliabad
    Aliabad is a small town in northern Pakistan that serves as the main commercial and administrative center of the Hunza Valley in Gilgit-Baltistan.
  • E. Golestan
    Golestan is a classic 13th-century Persian literary work by Saadi that blends prose and poetry to convey moral lessons and social commentary.
  • 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: Sabzevar
Triple: [Khorasan, majorCity, Sabzevar]
Generated description
Sabzevar is a historic and economically significant city in northeastern Iran, known as a regional center of trade, agriculture, and culture in the Khorasan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sabzevar
Target entity description: Sabzevar is a historic and economically significant city in northeastern Iran, known as a regional center of trade, agriculture, and culture in the Khorasan area.
  • A. Zaranj
    Zaranj is a key border city in southwestern Afghanistan that serves as an important trade and transit hub with neighboring Iran.
  • B. Margilan
    Margilan is a historic city in eastern Uzbekistan renowned as a traditional center of silk production and trade along the Silk Road.
  • C. Sadras
    Sadras is a historic coastal town in Tamil Nadu, India, known for its Dutch-era fort and role as a former trading port on the Coromandel Coast.
  • D. Aliabad
    Aliabad is a small town in northern Pakistan that serves as the main commercial and administrative center of the Hunza Valley in Gilgit-Baltistan.
  • E. Golestan
    Golestan is a classic 13th-century Persian literary work by Saadi that blends prose and poetry to convey moral lessons and social commentary.
  • F. None of above. chosen

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_69ad858b8adc8190ad989712c87a476b completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adab0ae494819093d39c367facde27 completed March 8, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b26241803c8190aa3254d5887c80f4 completed March 12, 2026, 6:50 a.m.
NEDg Description generation batch_69b2664ddd488190a3edf40fc2dcee18 completed March 12, 2026, 7:07 a.m.
NED2 Entity disambiguation (via description) batch_69b266ca4a90819083ecb16095a2984b completed March 12, 2026, 7:10 a.m.
Created at: March 8, 2026, 3:08 p.m.