Triple

T11593836
Position Surface form Disambiguated ID Type / Status
Subject Call of Duty: Black Ops E274949 entity
Predicate notableMap P98670 FINISHED
Object Nuketown E915571 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: Nuketown | Statement: [Call of Duty: Black Ops, notableMap, Nuketown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nuketown
Context triple: [Call of Duty: Black Ops, notableMap, Nuketown]
  • A. Nuketown chosen
    Nuketown is a small, iconic multiplayer map in the Call of Duty series, styled as a 1950s American nuclear test site known for its fast-paced, close-quarters combat.
  • B. Drop City
    Drop City is a novel by T.C. Boyle that follows a 1970s California hippie commune whose idealistic experiment in free living unravels when they relocate to the harsh wilderness of Alaska.
  • C. Jam City
    Jam City is a mobile game development studio known for creating popular free-to-play titles, including the Harry Potter: Hogwarts Mystery game.
  • D. SubUrbia
    SubUrbia is a 1996 independent drama film directed by Richard Linklater that follows a group of aimless suburban youths confronting their futures over the course of one night.
  • E. Log Town
    Log Town is the historical name for what is now Gaithersburg, a city in Montgomery County, Maryland.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8946594348190935106132fd18028 completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69e7146fdd8c8190a54f3290e155e900 completed April 21, 2026, 6:08 a.m.
Created at: April 8, 2026, 9:38 p.m.