Triple

T2038947
Position Surface form Disambiguated ID Type / Status
Subject Iranian Azerbaijan E44697 entity
Predicate hasMajorCity P316 FINISHED
Object Marand
Marand is a significant city in northwestern Iran’s East Azerbaijan Province, known as a regional commercial and agricultural center.
 E229943 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: Marand | Statement: [Iranian Azerbaijan, hasMajorCity, Marand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marand
Context triple: [Iranian Azerbaijan, hasMajorCity, Marand]
  • A. Golestan
    Golestan is a classic 13th-century Persian literary work by Saadi that blends prose and poetry to convey moral lessons and social commentary.
  • B. Mardan
    Mardan is a major city in northern Pakistan known as an important commercial and cultural center of the Khyber Pakhtunkhwa province.
  • C. Parsa
    Parsa is the ancient name of the Persian people and their homeland, from which the ethnonym "Persian" is historically derived.
  • D. Ḍogrī
    Ḍogrī is the native name of the Dogri language, an Indo-Aryan language spoken primarily in the Jammu region of India.
  • E. Khorasan
    Khorasan is a historical region in northeastern Iran and surrounding areas that served as a major cultural and political center in various Persian and Islamic empires.
  • 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: Marand
Triple: [Iranian Azerbaijan, hasMajorCity, Marand]
Generated description
Marand is a significant city in northwestern Iran’s East Azerbaijan Province, known as a regional commercial and agricultural center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marand
Target entity description: Marand is a significant city in northwestern Iran’s East Azerbaijan Province, known as a regional commercial and agricultural center.
  • A. Golestan
    Golestan is a classic 13th-century Persian literary work by Saadi that blends prose and poetry to convey moral lessons and social commentary.
  • B. Mardan
    Mardan is a major city in northern Pakistan known as an important commercial and cultural center of the Khyber Pakhtunkhwa province.
  • C. Parsa
    Parsa is the ancient name of the Persian people and their homeland, from which the ethnonym "Persian" is historically derived.
  • D. Ḍogrī
    Ḍogrī is the native name of the Dogri language, an Indo-Aryan language spoken primarily in the Jammu region of India.
  • E. Khorasan
    Khorasan is a historical region in northeastern Iran and surrounding areas that served as a major cultural and political center in various Persian and Islamic empires.
  • 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_69a889159ec481908f9e4472d9f480c7 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb951870481909dbdd8fc8b0c02fe completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1ff63de081908795a95c998dd9ac completed March 9, 2026, 1:18 a.m.
NEDg Description generation batch_69ae20a6ce14819098007416d6377f2e completed March 9, 2026, 1:21 a.m.
NED2 Entity disambiguation (via description) batch_69ae2130ba448190b91f590a348ebf88 completed March 9, 2026, 1:24 a.m.
Created at: March 4, 2026, 7:39 p.m.