Triple

T12759557
Position Surface form Disambiguated ID Type / Status
Subject Tristero E304954 entity
Predicate ontologicalStatusInText P29186 FINISHED
Object possibly real 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: possibly real | Statement: [Tristero, ontologicalStatusInText, possibly real]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ontologicalStatusInText
Context triple: [Tristero, ontologicalStatusInText, possibly real]
  • A. ontologyStatus
    Indicates the current state or condition of an entity within an ontology lifecycle (e.g., proposed, active, deprecated, or obsolete).
  • B. ontologicalStatusInDoctrine
    Indicates how an entity’s fundamental nature or mode of existence is defined or classified within a particular doctrine or system of thought.
  • C. ontologicalClaimAbout
    Indicates that one entity makes a statement or assertion about the fundamental nature, existence, or categorization of another entity.
  • D. ontologicalAspect
    Indicates a fundamental mode or category of being that characterizes how something exists or is realized.
  • E. realityStatus chosen
    Indicates the relationship between an entity and its state of existence or authenticity within a given context or world (e.g., real, fictional, hypothetical, simulated).
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d8d3eb08190ae998df5cc6d9ba6 completed April 10, 2026, 9:37 p.m.
PD Predicate disambiguation batch_69d96409739881909174ba005a986cb5 completed April 10, 2026, 8:56 p.m.
Created at: April 9, 2026, 5:28 p.m.