Triple

T13926853
Position Surface form Disambiguated ID Type / Status
Subject Dental College of Georgia E334881 entity
Predicate city P40 FINISHED
Object Augusta
Augusta is a historic city in eastern Georgia, United States, best known for hosting the annual Masters Tournament in professional golf.
E698870 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: Augusta | Statement: [Dental College of Georgia, city, Augusta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Augusta
Context triple: [Dental College of Georgia, city, Augusta]
  • A. Augusta
    Augusta is the given first name of Ada Lovelace, the 19th-century mathematician often regarded as the world's first computer programmer.
  • B. Augusta
    Augusta is a rural township in eastern Ontario, Canada, located along the St. Lawrence River in the United Counties of Leeds and Grenville.
  • C. Augusta
    Augusta is a coastal town and important industrial and port center in southeastern Sicily, Italy.
  • D. Augusta
    Augusta is a noblewoman historically recognized as the daughter of Galla.
  • E. Augusta
    Augusta is a feminine given name of Latin origin, historically used in English-speaking countries and often associated with dignity or grandeur.
  • 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: Augusta
Triple: [Dental College of Georgia, city, Augusta]
Generated description
Augusta is a historic city in eastern Georgia, United States, best known for hosting the annual Masters Tournament in professional golf.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Augusta
Target entity description: Augusta is a historic city in eastern Georgia, United States, best known for hosting the annual Masters Tournament in professional golf.
  • A. Augusta chosen
    Augusta is a major city in eastern Georgia, United States, best known for hosting the annual Masters Tournament in professional golf.
  • B. Augusta
    Augusta is a coastal town and important industrial and port center in southeastern Sicily, Italy.
  • C. Augusta
    Augusta is a small coastal town in the far southwest of Western Australia, known for its scenic coastline, proximity to Cape Leeuwin, and role as a popular tourist and fishing destination.
  • D. Augusta
    Augusta is a feminine given name of Latin origin, historically used in English-speaking countries and often associated with dignity or grandeur.
  • E. Augusta
    Augusta is a noblewoman historically recognized as the daughter of Galla.
  • F. None of above.

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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2aa7e9248190b0523415b9224e2f completed April 14, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69fba1c67e2c8190a14b273af0d93b0a completed May 6, 2026, 8:17 p.m.
NEDg Description generation batch_69fba7b0b1e081909b7c1e5ffefc2cc2 completed May 6, 2026, 8:42 p.m.
NED2 Entity disambiguation (via description) batch_69fba8585fb08190998d6a005dc0bd31 completed May 6, 2026, 8:45 p.m.
Created at: April 9, 2026, 10:16 p.m.