Triple

T20190893
Position Surface form Disambiguated ID Type / Status
Subject Inkopolis E492974 entity
Predicate hasArea P175 FINISHED
Object Inkopolis News studio NE NERFINISHED

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: Inkopolis News studio | Statement: [Inkopolis, hasArea, Inkopolis News studio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inkopolis News studio
Context triple: [Inkopolis, hasArea, Inkopolis News studio]
  • A. Inkopolis chosen
    Inkopolis is a vibrant, ink-splattered metropolis and central hub world in the Splatoon video game series, where Inklings and Octolings gather for battles, shopping, and social activities.
  • B. 37 Ink
    37 Ink is a Simon & Schuster imprint focused on publishing diverse, culturally resonant voices, particularly from Black and other underrepresented communities.
  • C. Inkster
    Inkster is a small rural municipality located in Grand Forks County in the U.S. state of North Dakota.
  • D. Ink
    "Ink" is a song featured on the Japanese rock band Ghost Stories' album.
  • E. Ink
    Ink is a short-lived 1996 American sitcom starring Ted Danson and Mary Steenburgen as married newspaper journalists balancing their chaotic work and home lives.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ad593f88190a1e534fed38b3cd7 completed April 20, 2026, 6:05 p.m.
Created at: April 11, 2026, 11:37 p.m.