Triple

T12948099
Position Surface form Disambiguated ID Type / Status
Subject Yazd Province E309820 entity
Predicate hasCity P316 FINISHED
Object Taft
Taft is a small city in central Iran known for its traditional gardens, pomegranate orchards, and proximity to the historic desert city of Yazd.
 E1011493 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: Taft | Statement: [Yazd Province, hasCity, Taft]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taft
Context triple: [Yazd Province, hasCity, Taft]
  • A. Taft
    Taft is a prominent American family name most famously associated with U.S. President and Chief Justice William Howard Taft and his politically influential relatives.
  • B. Taft
    Taft is a small oil-producing city in southwestern Kern County, California, known historically for its role in the petroleum industry.
  • C. Taft
    Taft is a coastal municipality in the province of Eastern Samar in the Philippines.
  • D. William Howard Taft III
    William Howard Taft III was an American diplomat and academic who notably served as U.S. Ambassador to Ireland in the mid-20th century.
  • E. President William Howard Taft
    President William Howard Taft was the 27th president of the United States, known for his trust-busting policies, later service as Chief Justice of the Supreme Court, and significant administrative reforms.
  • 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: Taft
Triple: [Yazd Province, hasCity, Taft]
Generated description
Taft is a small city in central Iran known for its traditional gardens, pomegranate orchards, and proximity to the historic desert city of Yazd.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taft
Target entity description: Taft is a small city in central Iran known for its traditional gardens, pomegranate orchards, and proximity to the historic desert city of Yazd.
  • A. Taft
    Taft is a small oil-producing city in southwestern Kern County, California, known historically for its role in the petroleum industry.
  • B. Taft
    Taft is a coastal municipality in the province of Eastern Samar in the Philippines.
  • C. Taft
    Taft is a prominent American family name most famously associated with U.S. President and Chief Justice William Howard Taft and his politically influential relatives.
  • D. William Howard Taft III
    William Howard Taft III was an American diplomat and academic who notably served as U.S. Ambassador to Ireland in the mid-20th century.
  • E. President William Howard Taft
    President William Howard Taft was the 27th president of the United States, known for his trust-busting policies, later service as Chief Justice of the Supreme Court, and significant administrative reforms.
  • 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.