Triple

T10298874
Position Surface form Disambiguated ID Type / Status
Subject Lorestan Province E241570 entity
Predicate containsCity P294 FINISHED
Object Nurabad
Nurabad is a city in western Iran that serves as a local urban center within Lorestan Province.
 E922516 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: Nurabad | Statement: [Lorestan Province, containsCity, Nurabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nurabad
Context triple: [Lorestan Province, containsCity, Nurabad]
  • A. Neyshabur
    Neyshabur is a historic city in northeastern Iran renowned for its cultural heritage, turquoise mines, and as the resting place of poet and polymath Omar Khayyam.
  • 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. 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.
  • D. Sadabad
    Sadabad is a town located in India’s culturally significant Braj region, traditionally associated with the life of Lord Krishna.
  • 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: Nurabad
Triple: [Lorestan Province, containsCity, Nurabad]
Generated description
Nurabad is a city in western Iran that serves as a local urban center within Lorestan Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nurabad
Target entity description: Nurabad is a city in western Iran that serves as a local urban center within Lorestan Province.
  • A. Neyshabur
    Neyshabur is a historic city in northeastern Iran renowned for its cultural heritage, turquoise mines, and as the resting place of poet and polymath Omar Khayyam.
  • 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. 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.
  • D. Sadabad
    Sadabad is a town located in India’s culturally significant Braj region, traditionally associated with the life of Lord Krishna.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2ed50908190962f0d6d049fb964 completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69e58a50d0748190a429af33cdced80a completed April 20, 2026, 2:07 a.m.
NEDg Description generation batch_69e59323c5948190bc2c9512f7b0a54f completed April 20, 2026, 2:44 a.m.
NED2 Entity disambiguation (via description) batch_69e599c53704819097c0fdbbfbbb1e87 completed April 20, 2026, 3:13 a.m.
Created at: April 6, 2026, 11:44 a.m.