Triple

T7963765
Position Surface form Disambiguated ID Type / Status
Subject Naeto C E184944 entity
Predicate name P16 FINISHED
Object Naeto C E184944 NE FINISHED

How this triple was built (2 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: Naeto C | Statement: [Naeto C, name, Naeto C]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naeto C
Context triple: [Naeto C, name, Naeto C]
  • A. Naeto C chosen
    Naeto C is a Nigerian rapper and record producer known for his influential role in the Afrobeats and hip-hop scenes, particularly in the late 2000s and early 2010s.
  • B. Noteć
    Noteć is a major river in central-western Poland that flows through regions such as Greater Poland, serving as an important natural waterway and ecological corridor.
  • C. C-3
    C-3 is one of the main commuter rail lines in the Cercanías Madrid network, connecting central Madrid with several southern suburbs and surrounding municipalities.
  • D. Neste
    Neste is a Finnish oil refining and renewable fuels company known for producing sustainable diesel and aviation fuels.
  • E. C50
    C50 is a popular model of Honda’s Super Cub series of small, fuel-efficient commuter motorcycles, known for their durability and widespread use worldwide.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca8293a2388190aace944d7ed9c0c0 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b9f577481908589d10fdc486abb completed March 31, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe093f00881909317eb4dd4fa1393 completed March 31, 2026, 2:56 p.m.
Created at: March 30, 2026, 5:12 p.m.