Triple

T5094146
Position Surface form Disambiguated ID Type / Status
Subject Geats E114825 entity
Predicate ethnonymInLatin P4709 FINISHED
Object Gautoi
Gautoi is the Latin name used in historical sources for the Geats, a North Germanic people from what is now southern Sweden.
 E493760 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: Gautoi | Statement: [Geats, ethnonymInLatin, Gautoi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gautoi
Context triple: [Geats, ethnonymInLatin, Gautoi]
  • A. Gari
    Gari is a celebrated Kannada literary work by the renowned poet D. R. Bendre.
  • B. Citura
    Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
  • C. Musina
    Musina is a northern South African town in Limpopo Province, known as a key border and transport hub near Zimbabwe and for its history of copper and iron ore mining.
  • D. Kartvelebi
    Kartvelebi are an ethnic group native to the country of Georgia in the South Caucasus, known for their distinct Kartvelian language, rich Christian heritage, and longstanding cultural traditions.
  • E. Niva
    Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
  • 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: Gautoi
Triple: [Geats, ethnonymInLatin, Gautoi]
Generated description
Gautoi is the Latin name used in historical sources for the Geats, a North Germanic people from what is now southern Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gautoi
Target entity description: Gautoi is the Latin name used in historical sources for the Geats, a North Germanic people from what is now southern Sweden.
  • A. Gari
    Gari is a celebrated Kannada literary work by the renowned poet D. R. Bendre.
  • B. Citura
    Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
  • C. Musina
    Musina is a northern South African town in Limpopo Province, known as a key border and transport hub near Zimbabwe and for its history of copper and iron ore mining.
  • D. Kartvelebi
    Kartvelebi are an ethnic group native to the country of Georgia in the South Caucasus, known for their distinct Kartvelian language, rich Christian heritage, and longstanding cultural traditions.
  • E. Niva
    Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75454920819086e09d6055087e40 completed March 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba76ef188190ab31623d1a44ebb9 completed March 21, 2026, 3:34 p.m.
NEDg Description generation batch_69bebb8e5f1c819082f0b59e9524d6e8 completed March 21, 2026, 3:38 p.m.
NED2 Entity disambiguation (via description) batch_69bebc30029081909b5c937308fefcf2 completed March 21, 2026, 3:41 p.m.
Created at: March 20, 2026, 1:40 p.m.