Triple

T11251669
Position Surface form Disambiguated ID Type / Status
Subject Empire of the Isles E266333 entity
Predicate hasMajorCity P316 FINISHED
Object Dunwall E266334 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: Dunwall | Statement: [Empire of the Isles, hasMajorCity, Dunwall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dunwall
Context triple: [Empire of the Isles, hasMajorCity, Dunwall]
  • A. Dunwall chosen
    Dunwall is a grim, plague-ridden industrial city inspired by Victorian London that serves as the primary setting of the Dishonored video game series.
  • B. Dunwall Tower
    Dunwall Tower is the grand royal palace and seat of the Empress in the fictional industrial city of Dunwall in the Dishonored video game series.
  • C. Redshore City
    Redshore City is a glitzy, entertainment-focused metropolis in the animated film "Sing 2," inspired by places like Las Vegas and Hollywood.
  • D. Krimson City
    Krimson City is a dark, nightmarish urban environment central to the events of the survival horror game series The Evil Within.
  • E. Yharnam
    Yharnam is a dark, Gothic city plagued by a mysterious blood-borne disease and nightmarish creatures in the action role-playing game Bloodborne.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e933648481909873094bc89ed041 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f40019588190864c59e8451e80bd completed April 19, 2026, 3:25 p.m.
Created at: April 8, 2026, 9:31 p.m.