Triple

T2343483
Position Surface form Disambiguated ID Type / Status
Subject Eastern Afghanistan E45078 entity
Predicate hasMajorCity P316 FINISHED
Object Gardez
Gardez is a city in eastern Afghanistan that serves as the capital of Paktia Province and an important regional administrative and commercial center.
 E258256 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: Gardez | Statement: [Eastern Afghanistan, hasMajorCity, Gardez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gardez
Context triple: [Eastern Afghanistan, hasMajorCity, Gardez]
  • A. Garde
    Garde is the surname of American stage, film, and radio actress Betty Garde, known for her character roles in mid-20th-century entertainment.
  • B. Guarda
    Guarda is a historic city in central Portugal known for being the country's highest-altitude city and for its well-preserved medieval architecture.
  • C. Heed
    Heed is the fiercely loyal yet conflicted protagonist of Toni Morrison’s novel "Love," whose lifelong bond and rivalry with her friend Christine drive much of the story’s emotional and thematic tension.
  • D. Garding
    Garding is a small town in the Nordfriesland district of Schleswig-Holstein in northern Germany.
  • E. Guards
    Guards is an honorific military designation historically awarded to elite, highly distinguished units in various armed forces, particularly in the Soviet and Russian militaries.
  • 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: Gardez
Triple: [Eastern Afghanistan, hasMajorCity, Gardez]
Generated description
Gardez is a city in eastern Afghanistan that serves as the capital of Paktia Province and an important regional administrative and commercial center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gardez
Target entity description: Gardez is a city in eastern Afghanistan that serves as the capital of Paktia Province and an important regional administrative and commercial center.
  • A. Garde
    Garde is the surname of American stage, film, and radio actress Betty Garde, known for her character roles in mid-20th-century entertainment.
  • B. Guarda
    Guarda is a historic city in central Portugal known for being the country's highest-altitude city and for its well-preserved medieval architecture.
  • C. Heed
    Heed is the fiercely loyal yet conflicted protagonist of Toni Morrison’s novel "Love," whose lifelong bond and rivalry with her friend Christine drive much of the story’s emotional and thematic tension.
  • D. Garding
    Garding is a small town in the Nordfriesland district of Schleswig-Holstein in northern Germany.
  • E. Guards
    Guards is an honorific military designation historically awarded to elite, highly distinguished units in various armed forces, particularly in the Soviet and Russian militaries.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6ae33e881909a81a0c0def59059 completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae96253f0c81908b866c656c3f5bea completed March 9, 2026, 9:43 a.m.
NEDg Description generation batch_69ae96fc0b508190b1da6aa41cddc488 completed March 9, 2026, 9:46 a.m.
NED2 Entity disambiguation (via description) batch_69ae977aac9c8190b5fecd5fea8893fd completed March 9, 2026, 9:48 a.m.
Created at: March 4, 2026, 7:52 p.m.