Triple

T28663492
Position Surface form Disambiguated ID Type / Status
Subject Wir sind die Eingeborenen von Trizonesien E725526 entity
Predicate fictionalCountryMentioned P184849 FINISHED
Object Trizonesien 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: Trizonesien | Statement: [Wir sind die Eingeborenen von Trizonesien, fictionalCountryMentioned, Trizonesien]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fictionalCountryMentioned
Context triple: [Wir sind die Eingeborenen von Trizonesien, fictionalCountryMentioned, Trizonesien]
  • A. fictionalCountryLocation
    Indicates that a fictional country is located within, or geographically associated with, a specified place or region.
  • B. locatedInFictionalCountry
    Indicates that an entity exists or is situated within a country that is fictional rather than real.
  • C. fictionalPlaceType
    Indicates that a place is a fictional location and specifies what type or category of fictional place it is.
  • D. countryOfOriginFictional
    Indicates that a fictional work, character, or element originates from or is associated with a particular country within its narrative or setting.
  • E. nationalityOfFictionalSetting
    Indicates that a fictional setting is associated with, or belongs to, a particular nationality or country.
  • F. None of above. chosen

Provenance (4 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_69f01d85be388190b669a0e401e2f2c4 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f7b628b17c8190aa058c1a51852a27 completed May 3, 2026, 8:55 p.m.
PD Predicate disambiguation batch_69f7b4c06f5881908f0b98cad6796478 completed May 3, 2026, 8:49 p.m.
PDg Predicate description generation batch_69f7b5cadd308190a864245a21b08f9a completed May 3, 2026, 8:53 p.m.
Created at: April 28, 2026, 4:59 a.m.