Triple

T12948105
Position Surface form Disambiguated ID Type / Status
Subject Yazd Province E309820 entity
Predicate hasCity P316 FINISHED
Object Ashkezar
Ashkezar is a small city in central Iran known for its location in the arid landscape of Yazd Province and its traditional desert architecture.
 E1013431 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: Ashkezar | Statement: [Yazd Province, hasCity, Ashkezar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ashkezar
Context triple: [Yazd Province, hasCity, Ashkezar]
  • A. Ashkun
    Ashkun is a Nuristani language spoken by the Ashkun people in parts of eastern Afghanistan.
  • B. Sharazan
    "Sharazan" is a popular Italian pop song performed by the duo Al Bano and Romina Power, known for its melodic style and romantic themes.
  • C. Akhsar
    Akhsar is a heroic figure from the Nart sagas, the traditional epic folklore of the peoples of the Caucasus.
  • D. Akhras
    Akhras is a Syrian-origin family name best known for being the maiden surname of Asma al-Assad, the First Lady of Syria.
  • E. Asharoken
    Asharoken is a small incorporated village on the north shore of Long Island, New York, known for its narrow beachfront peninsula and residential waterfront community.
  • 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: Ashkezar
Triple: [Yazd Province, hasCity, Ashkezar]
Generated description
Ashkezar is a small city in central Iran known for its location in the arid landscape of Yazd Province and its traditional desert architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ashkezar
Target entity description: Ashkezar is a small city in central Iran known for its location in the arid landscape of Yazd Province and its traditional desert architecture.
  • A. Ashkun
    Ashkun is a Nuristani language spoken by the Ashkun people in parts of eastern Afghanistan.
  • B. Sharazan
    "Sharazan" is a popular Italian pop song performed by the duo Al Bano and Romina Power, known for its melodic style and romantic themes.
  • C. Akhsar
    Akhsar is a heroic figure from the Nart sagas, the traditional epic folklore of the peoples of the Caucasus.
  • D. Akhras
    Akhras is a Syrian-origin family name best known for being the maiden surname of Asma al-Assad, the First Lady of Syria.
  • E. Asharoken
    Asharoken is a small incorporated village on the north shore of Long Island, New York, known for its narrow beachfront peninsula and residential waterfront community.
  • 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_69f6b8d9669c819090471eb7e035d83d completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6b9a1ca54819085da2ca592bf5219 completed May 3, 2026, 2:57 a.m.
NED2 Entity disambiguation (via description) batch_69f6bb03d8d88190930edd0f49fec8aa completed May 3, 2026, 3:03 a.m.
Created at: April 9, 2026, 5:43 p.m.