Triple

T9130962
Position Surface form Disambiguated ID Type / Status
Subject Wakanda E219083 entity
Predicate fictionalNeighbor P47749 FINISHED
Object Wakandan border region with fictional African states 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: Wakandan border region with fictional African states | Statement: [Wakanda, fictionalNeighbor, Wakandan border region with fictional African states]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fictionalNeighbor
Context triple: [Wakanda, fictionalNeighbor, Wakandan border region with fictional African states]
  • A. neighborOfFictional chosen
    Indicates that one fictional entity is located next to or in close proximity to another fictional entity within a narrative or imagined setting.
  • B. fictionalResidence
    Indicates that one entity is the place where another entity lives or is based within a fictional or imaginary context.
  • C. neighborCharacter
    Indicates that one character is located adjacent to or next to another character in a given context.
  • D. fictionalCharacter
    Indicates that one entity is a fictional character that appears within the narrative world of another entity (such as a work, series, or franchise).
  • E. fictionalStepmother
    Indicates a stepmother relationship that exists only within a fictional or narrative context.
  • 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_69ca83debfc0819095800583e97ab10f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8ceea6c81909f368f12dac1649c completed April 1, 2026, 5:10 a.m.
PD Predicate disambiguation batch_69cc6601d77881908299d58db6e64937 completed April 1, 2026, 12:25 a.m.
Created at: March 30, 2026, 7:18 p.m.