Triple

T12948103
Position Surface form Disambiguated ID Type / Status
Subject Yazd Province E309820 entity
Predicate hasCity P316 FINISHED
Object Khatam
Khatam is a city in central Iran that serves as an administrative and population center within Yazd Province.
 E1011496 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: Khatam | Statement: [Yazd Province, hasCity, Khatam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Khatam
Context triple: [Yazd Province, hasCity, Khatam]
  • A. Khatima
    Khatima is a town in the Kumaon region of Uttarakhand, India, known as an agricultural and commercial center near the India–Nepal border.
  • B. Al-Haqqah
    Al-Haqqah is the 69th chapter of the Qur’an, known for its vivid depiction of the Day of Judgment and the ultimate reality of divine accountability.
  • C. Khath‘am
    Khath‘am is an ancient Arab tribe known from early Islamic history, to which the companion Asma bint Umais belonged.
  • D. Khattam-Shud
    Khattam-Shud is the primary antagonist in Salman Rushdie’s novel "Haroun and the Sea of Stories," embodying censorship and the desire to silence stories and imagination.
  • E. Hedaya
    Hedaya is a surname most notably associated with American character actor Dan Hedaya, known for his numerous film and television roles.
  • 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: Khatam
Triple: [Yazd Province, hasCity, Khatam]
Generated description
Khatam is a city in central Iran that serves as an administrative and population center within Yazd Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Khatam
Target entity description: Khatam is a city in central Iran that serves as an administrative and population center within Yazd Province.
  • A. Khatima
    Khatima is a town in the Kumaon region of Uttarakhand, India, known as an agricultural and commercial center near the India–Nepal border.
  • B. Al-Haqqah
    Al-Haqqah is the 69th chapter of the Qur’an, known for its vivid depiction of the Day of Judgment and the ultimate reality of divine accountability.
  • C. Khath‘am
    Khath‘am is an ancient Arab tribe known from early Islamic history, to which the companion Asma bint Umais belonged.
  • D. Khattam-Shud
    Khattam-Shud is the primary antagonist in Salman Rushdie’s novel "Haroun and the Sea of Stories," embodying censorship and the desire to silence stories and imagination.
  • E. Hedaya
    Hedaya is a surname most notably associated with American character actor Dan Hedaya, known for his numerous film and television roles.
  • 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_69f6af7790808190826f98e8aff01523 completed May 3, 2026, 2:14 a.m.
NEDg Description generation batch_69f6b115720481908796955032043530 completed May 3, 2026, 2:21 a.m.
NED2 Entity disambiguation (via description) batch_69f6b1ea3d288190875888be8356da48 completed May 3, 2026, 2:24 a.m.
Created at: April 9, 2026, 5:43 p.m.