Triple

T16624579
Position Surface form Disambiguated ID Type / Status
Subject Krimzon Guard E403913 entity
Predicate primaryLocation P3231 FINISHED
Object Haven City E403912 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: Haven City | Statement: [Krimzon Guard, primaryLocation, Haven City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haven City
Context triple: [Krimzon Guard, primaryLocation, Haven City]
  • A. Haven City chosen
    Haven City is a heavily fortified, dystopian metropolis in the Jak and Daxter video game series, known for its oppressive regime, advanced technology, and constant conflict with invading forces.
  • B. Redshore City
    Redshore City is a glitzy, entertainment-focused metropolis in the animated film "Sing 2," inspired by places like Las Vegas and Hollywood.
  • C. Hawken
    Hawken is a surname and given name of English origin, used as a variant of Hawkins.
  • D. Rivet City
    Rivet City is a massive, fortified settlement built inside a derelict aircraft carrier in the post-apocalyptic world of Fallout 3, serving as a major hub of trade, science, and human civilization in the Capital Wasteland.
  • E. Seahaven
    Seahaven is the idyllic, meticulously controlled fictional town where the protagonist unknowingly lives inside a televised reality show in the film "The Truman Show."
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37550ee308190931fd50aeebe1e7e completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a2b3a608190ad8d2b653cd8785d completed May 10, 2026, 1:37 p.m.
Created at: April 10, 2026, 5:17 a.m.