Triple

T30605762
Position Surface form Disambiguated ID Type / Status
Subject Porto Corsa E779037 entity
Predicate hasInUniverseEconomyBasedOn P43018 FINISHED
Object tourism 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: tourism | Statement: [Porto Corsa, hasInUniverseEconomyBasedOn, tourism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasInUniverseEconomyBasedOn
Context triple: [Porto Corsa, hasInUniverseEconomyBasedOn, tourism]
  • A. hasFictionalEconomyBasedOn
    Indicates that one fictional economy is modeled after, inspired by, or structurally derived from another specified economy.
  • B. inUniverseEconomy
    Indicates that an entity participates in, is governed by, or operates within a particular fictional or defined universe’s economic system.
  • C. basedInUniverseOn
    Indicates that something is set or takes place within a fictional universe that is derived from, inspired by, or adapted from another source.
  • D. underlyingUniverse
    Indicates that one entity serves as the fundamental domain, space, or base structure within which the other entity is defined or operates.
  • E. hasColonialEconomyBasedOn chosen
    Indicates that an entity’s colonial economy is primarily structured around or dependent on the specified resource, activity, or economic basis.
  • 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_69f224a21fc08190abd9d8dd9eb6bb4c completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fefb15220081908da36aac386fa582 completed May 9, 2026, 9:15 a.m.
PD Predicate disambiguation batch_69fefa8e8ad48190a723fed81e9d64d0 completed May 9, 2026, 9:12 a.m.
Created at: April 29, 2026, 8:25 p.m.