Triple

T8159660
Position Surface form Disambiguated ID Type / Status
Subject Mazandaran Province E190543 entity
Predicate hasCity P316 FINISHED
Object Qaem Shahr
Qaem Shahr is a major industrial and commercial city in northern Iran, located in the lush, Caspian coastal region of Mazandaran.
 E783220 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: Qaem Shahr | Statement: [Mazandaran Province, hasCity, Qaem Shahr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Qaem Shahr
Context triple: [Mazandaran Province, hasCity, Qaem Shahr]
  • A. Iranshahr
    Iranshahr is a city in southeastern Iran known as an administrative and cultural center within the Sistan and Baluchestan region.
  • B. Sadabad
    Sadabad is a town located in India’s culturally significant Braj region, traditionally associated with the life of Lord Krishna.
  • C. Eslamshahr
    Eslamshahr is a city in Tehran Province, Iran, forming part of the southwestern suburban area of the capital Tehran.
  • D. Istakhr
    Istakhr was an ancient city in southwestern Iran that served as an early political and religious center for the Sasanian dynasty near the ruins of Persepolis.
  • E. Sultaniyeh
    Sultaniyeh is a historic city in northwestern Iran best known for its UNESCO-listed Ilkhanid-era mausoleum, one of the largest brick domes in the world.
  • 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: Qaem Shahr
Triple: [Mazandaran Province, hasCity, Qaem Shahr]
Generated description
Qaem Shahr is a major industrial and commercial city in northern Iran, located in the lush, Caspian coastal region of Mazandaran.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Qaem Shahr
Target entity description: Qaem Shahr is a major industrial and commercial city in northern Iran, located in the lush, Caspian coastal region of Mazandaran.
  • A. Iranshahr
    Iranshahr is a city in southeastern Iran known as an administrative and cultural center within the Sistan and Baluchestan region.
  • B. Sadabad
    Sadabad is a town located in India’s culturally significant Braj region, traditionally associated with the life of Lord Krishna.
  • C. Eslamshahr
    Eslamshahr is a city in Tehran Province, Iran, forming part of the southwestern suburban area of the capital Tehran.
  • D. Istakhr
    Istakhr was an ancient city in southwestern Iran that served as an early political and religious center for the Sasanian dynasty near the ruins of Persepolis.
  • E. Sultaniyeh
    Sultaniyeh is a historic city in northwestern Iran best known for its UNESCO-listed Ilkhanid-era mausoleum, one of the largest brick domes in the world.
  • 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb45537d248190a0e998b6d336e6e1 completed March 31, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05bd623b88190aeecaa70f92e5c3c completed April 4, 2026, 12:31 a.m.
NEDg Description generation batch_69d05d2e27a081909497f48f3b93b1fe completed April 4, 2026, 12:37 a.m.
NED2 Entity disambiguation (via description) batch_69d05df1a0888190a2bdc48a159b865e completed April 4, 2026, 12:40 a.m.
Created at: March 30, 2026, 5:38 p.m.