Triple

T15999574
Position Surface form Disambiguated ID Type / Status
Subject VMU E388060 entity
Predicate manufacturer P490 FINISHED
Object Sega E200316 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: Sega | Statement: [VMU, manufacturer, Sega]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sega
Context triple: [VMU, manufacturer, Sega]
  • A. Sega chosen
    Sega is a Japanese video game and entertainment company best known for its iconic consoles and franchises such as Sonic the Hedgehog.
  • B. Sega Sammy Holdings
    Sega Sammy Holdings is a Japanese entertainment conglomerate best known for owning Sega and operating businesses in video games, arcade machines, and pachinko/pachislot machines.
  • C. Jaleco
    Jaleco was a Japanese video game company known for developing and publishing arcade and home console titles from the 1980s through the early 2000s.
  • D. Sega Technical Institute
    Sega Technical Institute was an American Sega development division active in the early 1990s, best known for creating innovative Sega Genesis titles such as Comix Zone and Sonic the Hedgehog 2.
  • E. SEGA Republic
    SEGA Republic was an indoor theme park and entertainment center in Dubai themed around Sega video game franchises, featuring arcade games and amusement rides.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1578a0adc819097c6a23514182173 completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00179fc28481909e1c46af343676ff completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 4:55 a.m.