Triple

T12160199
Position Surface form Disambiguated ID Type / Status
Subject Call of Duty: Modern Warfare II (2022) E289682 entity
Predicate includesMode P1393 FINISHED
Object DMZ E494237 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: DMZ | Statement: [Call of Duty: Modern Warfare II (2022), includesMode, DMZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DMZ
Context triple: [Call of Duty: Modern Warfare II (2022), includesMode, DMZ]
  • A. DMZ
    DMZ is a Milestone Media comic book character known for his immense power and near-invulnerability, often depicted as a mysterious and formidable figure.
  • B. DMZ chosen
    DMZ is the heavily fortified buffer zone separating North and South Korea, established after the Korean War to reduce military tensions between the two countries.
  • C. Zona
    Zona is the former name of the city now known as Davie in Broward County, Florida.
  • D. Joint Security Area
    The Joint Security Area is the heavily guarded section of the Korean Demilitarized Zone where North and South Korean forces stand face-to-face and diplomatic negotiations are conducted.
  • E. The Zone
    The Zone was the lively amusement and entertainment district of the Panama–Pacific International Exposition, featuring rides, shows, and attractions for fairgoers.
  • 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c395e48190a16e97fd29787a51 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f69e8498819080d571e6fb4edfde completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.