Triple

T16624962
Position Surface form Disambiguated ID Type / Status
Subject Baron Praxis E403921 entity
Predicate governs P760 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: [Baron Praxis, governs, Haven City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haven City
Context triple: [Baron Praxis, governs, 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_69e37551cd888190becc21deba87980d completed April 18, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c79657ec8190b1b3500b7a99df0a completed May 10, 2026, 5:59 p.m.
Created at: April 10, 2026, 5:17 a.m.