Triple

T11526020
Position Surface form Disambiguated ID Type / Status
Subject Razavi Khorasan Province E273296 entity
Predicate containsCity P294 FINISHED
Object Gonabad
Gonabad is a city in northeastern Iran known for its ancient qanat water-management system and its role as an agricultural and cultural center in Razavi Khorasan Province.
E1018546 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: Gonabad | Statement: [Razavi Khorasan Province, containsCity, Gonabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gonabad
Context triple: [Razavi Khorasan Province, containsCity, Gonabad]
  • A. Nurabad
    Nurabad is a city in western Iran that serves as a local urban center within Lorestan Province.
  • B. Nahavand
    Nahavand is a historic city in western Iran known as the site of a decisive 7th-century battle that contributed to the fall of the Sasanian Empire.
  • C. Azarshahr
    Azarshahr is a city in northwestern Iran known for its location within East Azerbaijan Province and its role as a local administrative and economic center.
  • D. Salmas
    Salmas is a historic city in Iran's West Azerbaijan Province, known for its diverse cultural heritage and location in the northwestern part of the country.
  • E. Firuzabad
    Firuzabad is a historic city in Iran renowned for its Sassanian-era archaeological sites and distinctive circular urban plan.
  • 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: Gonabad
Triple: [Razavi Khorasan Province, containsCity, Gonabad]
Generated description
Gonabad is a city in northeastern Iran known for its ancient qanat water-management system and its role as an agricultural and cultural center in Razavi Khorasan Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gonabad
Target entity description: Gonabad is a city in northeastern Iran known for its ancient qanat water-management system and its role as an agricultural and cultural center in Razavi Khorasan Province.
  • A. Nurabad
    Nurabad is a city in western Iran that serves as a local urban center within Lorestan Province.
  • B. Nahavand
    Nahavand is a historic city in western Iran known as the site of a decisive 7th-century battle that contributed to the fall of the Sasanian Empire.
  • C. Azarshahr
    Azarshahr is a city in northwestern Iran known for its location within East Azerbaijan Province and its role as a local administrative and economic center.
  • D. Salmas
    Salmas is a historic city in Iran's West Azerbaijan Province, known for its diverse cultural heritage and location in the northwestern part of the country.
  • E. Firuzabad
    Firuzabad is a historic city in Iran renowned for its Sassanian-era archaeological sites and distinctive circular urban plan.
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d87fd379648190b342e0c4b4f685b7 completed April 10, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbaa8acc8190839b9a9f9f821168 completed May 3, 2026, 4:14 a.m.
NEDg Description generation batch_69f6ce1f52388190935be76122890d63 completed May 3, 2026, 4:25 a.m.
NED2 Entity disambiguation (via description) batch_69f6ceafcca88190bcd65be3c4440987 completed May 3, 2026, 4:27 a.m.
Created at: April 8, 2026, 9:37 p.m.