Triple

T19646353
Position Surface form Disambiguated ID Type / Status
Subject Zayn E471680 entity
Predicate hasRomanizationSystem P23170 FINISHED
Object ALA-LC NE NERFINISHED

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: ALA-LC | Statement: [Zayn, hasRomanizationSystem, ALA-LC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ALA-LC
Context triple: [Zayn, hasRomanizationSystem, ALA-LC]
  • A. ALA-LC chosen
    ALA-LC is a widely used romanization standard developed by the American Library Association and the Library of Congress for converting non-Latin scripts into the Latin alphabet.
  • B. ALA (historical)
    ALA (historical) was the former stock ticker symbol used to represent the French telecommunications company Alcatel on securities exchanges.
  • C. ARLC
    ARLC is the governing body responsible for overseeing and administering professional rugby league in Australia, including the National Rugby League (NRL).
  • D. ACLC
    ACLC is a Canadian legal advocacy organization focused on protecting and advancing the rights and interests of African Canadians.
  • E. ALCTS
    ALCTS is a professional division of the American Library Association focused on library collections, cataloging, metadata, and technical services.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641250e108190a707452fefc87041 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:44 p.m.