Triple

T12948104
Position Surface form Disambiguated ID Type / Status
Subject Yazd Province E309820 entity
Predicate hasCity P316 FINISHED
Object Behabad
Behabad is a small city in central Iran that serves as an administrative and local economic center within Yazd Province.
E1038824 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: Behabad | Statement: [Yazd Province, hasCity, Behabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Behabad
Context triple: [Yazd Province, hasCity, Behabad]
  • A. Nurabad
    Nurabad is a city in western Iran that serves as a local urban center within Lorestan Province.
  • B. Sadabad
    Sadabad is a town located in India’s culturally significant Braj region, traditionally associated with the life of Lord Krishna.
  • C. Abadeh
    Abadeh is a city in southern Iran known as a regional center in Fars Province, noted for its traditional handicrafts and strategic location on the route between Shiraz and Isfahan.
  • D. 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.
  • E. Aliabad
    Aliabad is a small town in northern Pakistan that serves as the main commercial and administrative center of the Hunza Valley in Gilgit-Baltistan.
  • 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: Behabad
Triple: [Yazd Province, hasCity, Behabad]
Generated description
Behabad is a small city in central Iran that serves as an administrative and local economic center within Yazd Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Behabad
Target entity description: Behabad is a small city in central Iran that serves as an administrative and local economic center within Yazd Province.
  • A. Nurabad
    Nurabad is a city in western Iran that serves as a local urban center within Lorestan Province.
  • B. Sadabad
    Sadabad is a town located in India’s culturally significant Braj region, traditionally associated with the life of Lord Krishna.
  • C. Abadeh
    Abadeh is a city in southern Iran known as a regional center in Fars Province, noted for its traditional handicrafts and strategic location on the route between Shiraz and Isfahan.
  • D. 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.
  • E. Aliabad
    Aliabad is a small town in northern Pakistan that serves as the main commercial and administrative center of the Hunza Valley in Gilgit-Baltistan.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e1c67b8819094e5243267f93ce2 completed April 10, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73051273c81909eb91c923f37557e completed May 3, 2026, 11:24 a.m.
NEDg Description generation batch_69f73195e4d88190ad356d0e3e18d34f completed May 3, 2026, 11:29 a.m.
NED2 Entity disambiguation (via description) batch_69f73220ffc08190bfb1b89757efd606 completed May 3, 2026, 11:31 a.m.
Created at: April 9, 2026, 5:43 p.m.