Triple

T5984227
Position Surface form Disambiguated ID Type / Status
Subject American Sign Language E133186 entity
Predicate hasISO6393Code P8719 FINISHED
Object ase
"ase" is the ISO 639-3 language code assigned to American Sign Language, the primary sign language used by Deaf communities in the United States and parts of Canada.
 E558074 NE FINISHED

How this triple was built (4 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: ase | Statement: [American Sign Language, hasISO6393Code, ase]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ase
Context triple: [American Sign Language, hasISO6393Code, ase]
  • A. ACE
    ACE is the commonly used acronym for Arts Council England, the national body that supports and funds arts and culture across England.
  • B. ACE
    ACE (Altamont Corridor Express) is a commuter rail service in California’s San Joaquin Valley and East Bay that provides weekday trains between Stockton and San Jose.
  • C. ACE
    ACE is the IATA airport code for Lanzarote Airport in Spain’s Canary Islands.
  • D. ACE
    ACE is a Canadian satellite mission focused on studying Earth's atmosphere and climate through detailed measurements of atmospheric chemistry.
  • E. ACES
    ACES is a college focused on agricultural, consumer, and environmental sciences, commonly associated with land-grant universities such as the University of Illinois at Urbana-Champaign.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ase
Triple: [American Sign Language, hasISO6393Code, ase]
Generated description
"ase" is the ISO 639-3 language code assigned to American Sign Language, the primary sign language used by Deaf communities in the United States and parts of Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ase
Target entity description: "ase" is the ISO 639-3 language code assigned to American Sign Language, the primary sign language used by Deaf communities in the United States and parts of Canada.
  • A. ACE
    ACE is the commonly used acronym for Arts Council England, the national body that supports and funds arts and culture across England.
  • B. ACE
    ACE (Altamont Corridor Express) is a commuter rail service in California’s San Joaquin Valley and East Bay that provides weekday trains between Stockton and San Jose.
  • C. ACE
    ACE is the IATA airport code for Lanzarote Airport in Spain’s Canary Islands.
  • D. ACE
    ACE is a Canadian satellite mission focused on studying Earth's atmosphere and climate through detailed measurements of atmospheric chemistry.
  • E. ACES
    ACES is a college focused on agricultural, consumer, and environmental sciences, commonly associated with land-grant universities such as the University of Illinois at Urbana-Champaign.
  • 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_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.
NEDg Description generation batch_69c0e618863881909d8c7b05e646c02a completed March 23, 2026, 7:04 a.m.
NED2 Entity disambiguation (via description) batch_69c0e6a24be48190a5d5e71b38f73758 completed March 23, 2026, 7:07 a.m.
Created at: March 22, 2026, 4:04 p.m.