Triple

T11135445
Position Surface form Disambiguated ID Type / Status
Subject Fars Province E263396 entity
Predicate containsCity P294 FINISHED
Object Qir and Karzin
Qir and Karzin is a city in southern Iran that serves as an administrative and population center within Fars Province.
 E908003 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: Qir and Karzin | Statement: [Fars Province, containsCity, Qir and Karzin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Qir and Karzin
Context triple: [Fars Province, containsCity, Qir and Karzin]
  • A. Tuyserkan
    Tuyserkan is a city in western Iran known for its walnut orchards, traditional handicrafts, and historical sites such as ancient tombs and bazaars.
  • B. Qorveh
    Qorveh is a city in western Iran known as one of the main urban centers of Kurdistan Province.
  • C. Margilan
    Margilan is a historic city in eastern Uzbekistan renowned as a traditional center of silk production and trade along the Silk Road.
  • D. Kushk
    Kushk is a town in northwestern Afghanistan near the Turkmenistan border, known as a local trade and transit center in Herat Province.
  • E. Shirakavan
    Shirakavan was a medieval Armenian city that served as one of the principal royal centers of the Bagratid Kingdom of Armenia.
  • 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: Qir and Karzin
Triple: [Fars Province, containsCity, Qir and Karzin]
Generated description
Qir and Karzin is a city in southern Iran that serves as an administrative and population center within Fars Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Qir and Karzin
Target entity description: Qir and Karzin is a city in southern Iran that serves as an administrative and population center within Fars Province.
  • A. Tuyserkan
    Tuyserkan is a city in western Iran known for its walnut orchards, traditional handicrafts, and historical sites such as ancient tombs and bazaars.
  • B. Qorveh
    Qorveh is a city in western Iran known as one of the main urban centers of Kurdistan Province.
  • C. Margilan
    Margilan is a historic city in eastern Uzbekistan renowned as a traditional center of silk production and trade along the Silk Road.
  • D. Kushk
    Kushk is a town in northwestern Afghanistan near the Turkmenistan border, known as a local trade and transit center in Herat Province.
  • E. Shirakavan
    Shirakavan was a medieval Armenian city that served as one of the principal royal centers of the Bagratid Kingdom of Armenia.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e85daddc8190a1ae2a4a75cc8d50 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441fa286881909a8279a8ea6944e7 completed April 19, 2026, 2:46 a.m.
NEDg Description generation batch_69e44c09163481909d6a469b1e50b6ff completed April 19, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_69e4519f4d408190be9863c72006ecad completed April 19, 2026, 3:53 a.m.
Created at: April 8, 2026, 9:28 p.m.