Triple

T32613961
Position Surface form Disambiguated ID Type / Status
Subject USCSS E833733 entity
Predicate hasFictionalLegalStatus P192339 FINISHED
Object commercial registry 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: commercial registry | Statement: [USCSS, hasFictionalLegalStatus, commercial registry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFictionalLegalStatus
Context triple: [USCSS, hasFictionalLegalStatus, commercial registry]
  • A. hasImaginedLegalStatus chosen
    Indicates that an entity is regarded or treated as having a particular legal status based on imagination, assumption, or fiction rather than an officially recognized legal designation.
  • B. legalStatusInUniverse
    Indicates the formal legal standing or classification an entity holds within a specified fictional or conceptual universe.
  • C. hasFictionalReligiousJurisdiction
    Indicates that one entity holds an invented or fictional religious authority, control, or governance over another entity within a narrative or imaginary context.
  • D. hasFictionalAdministration
    Indicates that an entity is governed, managed, or overseen by an administration that is fictional rather than real.
  • E. hasFictionalType
    Indicates that an entity is associated with or classified under a particular type or category that is fictional rather than real.
  • 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_69f3492bfa648190b6ae472074634e29 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fee25dbca481909e6f1c255122b3a8 completed May 9, 2026, 7:29 a.m.
PD Predicate disambiguation batch_69fee1c8915c8190b08b63e42881f1a9 completed May 9, 2026, 7:27 a.m.
Created at: May 1, 2026, 1:06 a.m.