Triple

T14246127
Position Surface form Disambiguated ID Type / Status
Subject Somosomo E353137 entity
Predicate hasNearbyTown P3883 FINISHED
Object Matei
Matei is a small coastal village on the island of Taveuni in Fiji, known for its airport and access to nearby resorts and natural attractions.
 E1087394 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: Matei | Statement: [Somosomo, hasNearbyTown, Matei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Matei
Context triple: [Somosomo, hasNearbyTown, Matei]
  • A. Miron
    Miron is a masculine given name of Slavic and Greek origin, commonly used in Eastern Europe and derived from a word meaning "myrrh" or "fragrant oil."
  • B. Timotei
    Timotei is a given name, commonly used in Eastern European and Scandinavian countries, that is related to the name Timofey.
  • C. Aurel
    Aurel is a masculine given name most notably borne by the Hungarian-British archaeologist and explorer Aurel Stein, famed for his expeditions along the Silk Road.
  • D. Grigore
    Grigore is a masculine given name of Eastern European origin, commonly used in Romanian-speaking regions and related to the name Grigor.
  • E. Dragomir
    Dragomir is a Swedish actor and former criminal best known internationally for his role in the film "Easy Money" and appearances in action movies and TV series.
  • 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: Matei
Triple: [Somosomo, hasNearbyTown, Matei]
Generated description
Matei is a small coastal village on the island of Taveuni in Fiji, known for its airport and access to nearby resorts and natural attractions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Matei
Target entity description: Matei is a small coastal village on the island of Taveuni in Fiji, known for its airport and access to nearby resorts and natural attractions.
  • A. Miron
    Miron is a masculine given name of Slavic and Greek origin, commonly used in Eastern Europe and derived from a word meaning "myrrh" or "fragrant oil."
  • B. Timotei
    Timotei is a given name, commonly used in Eastern European and Scandinavian countries, that is related to the name Timofey.
  • C. Aurel
    Aurel is a masculine given name most notably borne by the Hungarian-British archaeologist and explorer Aurel Stein, famed for his expeditions along the Silk Road.
  • D. Grigore
    Grigore is a masculine given name of Eastern European origin, commonly used in Romanian-speaking regions and related to the name Grigor.
  • E. Dragomir
    Dragomir is a Swedish actor and former criminal best known internationally for his role in the film "Easy Money" and appearances in action movies and TV series.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de629464f88190817b190731bab156 completed April 14, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd282571ec819080d187ecec3ed925 completed May 8, 2026, 12:02 a.m.
NEDg Description generation batch_69fd2a9da52481909f580eb0df3e1922 completed May 8, 2026, 12:13 a.m.
NED2 Entity disambiguation (via description) batch_69fd2b270c9c8190a573e53ca9af4e4b completed May 8, 2026, 12:15 a.m.
Created at: April 10, 2026, 1:08 a.m.