Triple

T10920493
Position Surface form Disambiguated ID Type / Status
Subject Maya Lopez E257932 entity
Predicate MCUUsesLanguage P96651 FINISHED
Object American Sign Language E133186 NE FINISHED

How this triple was built (3 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: American Sign Language | Statement: [Maya Lopez, MCUUsesLanguage, American Sign Language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: American Sign Language
Context triple: [Maya Lopez, MCUUsesLanguage, American Sign Language]
  • A. American Sign Language chosen
    American Sign Language is a natural visual-gestural language used primarily by Deaf communities in the United States and parts of Canada, with its own distinct grammar and vocabulary separate from spoken English.
  • B. ASL
    ASL is the ICAO airline designator used to identify Air Serbia in international aviation operations and communications.
  • C. ASL
    ASL is the three-letter station code used to identify Arsenal Underground station on the London Underground network.
  • D. ASL
    ASL is an international scholarly organization devoted to the advancement of research and education in symbolic logic and its applications.
  • E. Australian Sign Language
    Australian Sign Language (Auslan) is the primary sign language of the Australian Deaf community, developed from British Sign Language and used for everyday communication, education, and cultural expression.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: MCUUsesLanguage
Context triple: [Maya Lopez, MCUUsesLanguage, American Sign Language]
  • A. usesLanguageRuntime
    Indicates that an entity operates using, depends on, or is executed within a specific language runtime environment.
  • B. scriptUsedForLanguage
    Indicates that a particular writing script is employed to write or represent a given language.
  • C. hasMacroLanguage
    Indicates that one language functions as a macrolanguage encompassing or grouping together multiple closely related individual languages or varieties.
  • D. hasLanguageInUniverse
    Indicates that a particular language exists or is used within a specified fictional or conceptual universe.
  • E. usesWorkingLanguagesOf
    Indicates that one entity employs or operates using the working languages associated with another entity.
  • F. None of above. chosen

Provenance (5 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77081a0c48190b7aa4a482032d1ea completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2171adbbc8190916a5463b6e5c186 completed April 17, 2026, 11:18 a.m.
PD Predicate disambiguation batch_69d72e799f808190b6ab64fc7586a303 completed April 9, 2026, 4:43 a.m.
PDg Predicate description generation batch_69d7322370648190ba14cdd6fb4cdcb0 completed April 9, 2026, 4:59 a.m.
Created at: April 8, 2026, 9:22 p.m.