Triple

T15494870
Position Surface form Disambiguated ID Type / Status
Subject Fabia Eudokia E378790 entity
Predicate nobleTitle P914 FINISHED
Object Augusta
Augusta was an imperial honorific title used in the Roman and Byzantine Empires to designate an empress or highly esteemed noblewoman.
 E196016 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: [Fabia Eudokia, nobleTitle, Augusta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Augusta
Context triple: [Fabia Eudokia, nobleTitle, 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: [Fabia Eudokia, nobleTitle, Augusta]
Generated description
Augusta was an imperial honorific title used in the Roman and Byzantine Empires to designate an empress or highly esteemed noblewoman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Augusta
Target entity description: Augusta was an imperial honorific title used in the Roman and Byzantine Empires to designate an empress or highly esteemed noblewoman.
  • A. Augusta chosen
    Augusta was an honorific title used for empresses and other high-ranking women in the Roman and Byzantine Empires, signifying imperial dignity and status.
  • B. Augusta
    Augusta is a feminine given name of Latin origin, historically used in English-speaking countries and often associated with dignity or grandeur.
  • C. Augusta
    Augusta is a noblewoman historically recognized as the daughter of Galla.
  • D. Augusta
    Augusta is the given first name of Ada Lovelace, the 19th-century mathematician often regarded as the world's first computer programmer.
  • E. Augusta
    Augusta is the first name of Lady Gregory, the influential Irish dramatist, folklorist, and co-founder of Dublin’s Abbey Theatre.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03faecd60819091eeaa56c9c8f67d completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3662f3388190b75ffe3ce418f36d completed May 9, 2026, 1:28 p.m.
NEDg Description generation batch_69ff36e2172c8190a95b0957d99f304f completed May 9, 2026, 1:30 p.m.
NED2 Entity disambiguation (via description) batch_69ff375bfd648190967746050fcd48b2 completed May 9, 2026, 1:32 p.m.
Created at: April 10, 2026, 3:51 a.m.