Triple

T9122986
Position Surface form Disambiguated ID Type / Status
Subject Mini E218900 entity
Predicate storyTimeSetting P59480 FINISHED
Object late 19th-century Calcutta LITERAL 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: late 19th-century Calcutta | Statement: [Mini, storyTimeSetting, late 19th-century Calcutta]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: storyTimeSetting
Context triple: [Mini, storyTimeSetting, late 19th-century Calcutta]
  • A. storyBy
    Indicates that one entity is the creator or author of the story associated with another entity.
  • B. storyWorld chosen
    Indicates the fictional universe or narrative setting within which a story, event, or character exists or takes place.
  • C. storyFunction
    Indicates that one entity serves a particular narrative role or function within the story structure of another entity.
  • D. storyElement
    Indicates that one entity functions as a narrative component or part within the structure of another entity’s story.
  • E. sectionNarrator
    Indicates that a given entity serves as the narrator or narrative voice for a particular section of a work.
  • F. None of above.

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_69ca83dddd548190983b96c664f7f367 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8b5fa188190be6465e74cf26915 completed April 1, 2026, 5:10 a.m.
PD Predicate disambiguation batch_69cc66003e3c819091e1e42c9cf7c781 completed April 1, 2026, 12:25 a.m.
Created at: March 30, 2026, 7:17 p.m.