Triple

T11642018
Position Surface form Disambiguated ID Type / Status
Subject Call of Duty: Modern Warfare 2 E276681 entity
Predicate hasMap P103 FINISHED
Object Rust
Rust is a small, fast-paced multiplayer map in Call of Duty: Modern Warfare 2, known for its vertical design and intense close-quarters combat.
 E937541 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: Rust | Statement: [Call of Duty: Modern Warfare 2, hasMap, Rust]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rust
Context triple: [Call of Duty: Modern Warfare 2, hasMap, Rust]
  • A. Rust
    Rust is a modern systems programming language focused on memory safety, concurrency, and performance without a garbage collector.
  • B. Rust
    Rust is a German surname borne by various notable individuals, including figures in politics, academia, and the arts.
  • C. Rust
    Rust is a small historic town in Austria’s Burgenland region, renowned for its well-preserved medieval architecture and wine culture along Lake Neusiedl.
  • D. Rust
    Rust is a city in Contra Costa County, California, that was originally known by this earlier name before becoming El Cerrito.
  • E. Rust-eze
    Rust-eze is a fictional medicated bumper ointment company in the Cars film franchise that serves as Lightning McQueen’s primary sponsor.
  • 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: Rust
Triple: [Call of Duty: Modern Warfare 2, hasMap, Rust]
Generated description
Rust is a small, fast-paced multiplayer map in Call of Duty: Modern Warfare 2, known for its vertical design and intense close-quarters combat.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rust
Target entity description: Rust is a small, fast-paced multiplayer map in Call of Duty: Modern Warfare 2, known for its vertical design and intense close-quarters combat.
  • A. Rust
    Rust is a modern systems programming language focused on memory safety, concurrency, and performance without a garbage collector.
  • B. Rust
    Rust is a small historic town in Austria’s Burgenland region, renowned for its well-preserved medieval architecture and wine culture along Lake Neusiedl.
  • C. Rust
    Rust is a city in Contra Costa County, California, that was originally known by this earlier name before becoming El Cerrito.
  • D. Rust
    Rust is a German surname borne by various notable individuals, including figures in politics, academia, and the arts.
  • E. Rust-eze
    Rust-eze is a fictional medicated bumper ointment company in the Cars film franchise that serves as Lightning McQueen’s primary sponsor.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a260ab488190ab1c00d9850f3096 completed April 10, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87deb3888190842bd61efd7b3989 completed April 26, 2026, 9:47 p.m.
NEDg Description generation batch_69eeb31438f88190bab71212293f2d2e completed April 27, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69eecd954b348190bf2f3ad66acbf1b7 completed April 27, 2026, 2:44 a.m.
Created at: April 8, 2026, 9:39 p.m.