Triple

T11221380
Position Surface form Disambiguated ID Type / Status
Subject Alaqua Cox E265573 entity
Predicate language P15 FINISHED
Object American Sign Language E133186 NE 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: American Sign Language | Statement: [Alaqua Cox, language, American Sign Language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: American Sign Language
Context triple: [Alaqua Cox, language, 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.

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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8eb84c48190b4f3bede254afde2 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4977cab4481909c6b94ca07cd5e4a completed April 19, 2026, 8:51 a.m.
Created at: April 8, 2026, 9:30 p.m.