Triple

T5984256
Position Surface form Disambiguated ID Type / Status
Subject Japanese Sign Language E133187 entity
Predicate hasAlternativeName P39 FINISHED
Object 日本手話 E133187 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: 日本手話 | Statement: [Japanese Sign Language, hasAlternativeName, 日本手話]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 日本手話
Context triple: [Japanese Sign Language, hasAlternativeName, 日本手話]
  • A. Japanese Sign Language chosen
    Japanese Sign Language is the natural visual-gestural language used by the Deaf community in Japan, with its own distinct grammar, vocabulary, and linguistic structure separate from spoken Japanese.
  • B. Korean Sign Language
    Korean Sign Language is the primary visual-gestural language used by the Deaf community in South Korea, with its own distinct grammar and vocabulary separate from spoken Korean.
  • C. Yapese
    Yapese is an Austronesian language spoken primarily on the island of Yap and nearby islands in the western Pacific.
  • D. Okinawan Japanese
    Okinawan Japanese is a regional variety of the Japanese language spoken primarily in Okinawa, influenced by both Standard Japanese and the indigenous Ryukyuan languages.
  • E. ASL
    ASL is the ICAO airline designator used to identify Air Serbia in international aviation operations and communications.
  • 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_69c0087010d081908bb8142342d63330 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a6c4f2481909cdcf931331b3595 completed March 22, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e425c3e08190a87ced99d38c4f1d completed March 23, 2026, 6:56 a.m.
Created at: March 22, 2026, 4:04 p.m.