Triple

T9319204
Position Surface form Disambiguated ID Type / Status
Subject Semai language E224201 entity
Predicate hasAlternativeName P39 FINISHED
Object Semaq (historical or variant label) E783994 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: Semaq (historical or variant label) | Statement: [Semai language, hasAlternativeName, Semaq (historical or variant label)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Semaq (historical or variant label)
Context triple: [Semai language, hasAlternativeName, Semaq (historical or variant label)]
  • A. Damacus (colloquial)
    Damacus is a colloquial nickname used by locals to refer to the town of Damascus in Maryland.
  • B. Semaq Beri language chosen
    Semaq Beri is an Aslian Austroasiatic language spoken by the indigenous Semaq Beri people of Peninsular Malaysia.
  • C. Sabaic
    Sabaic is an ancient South Arabian Semitic language once used in inscriptions and documents in what is now Yemen.
  • D. Shemia
    Shemia is an American politician and attorney best known for serving as Oregon’s Secretary of State.
  • E. Shemariah
    Shemariah is a biblical figure mentioned in genealogical records as a descendant within the line associated with Mahalath.
  • 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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd358c7d348190a10fd8670d7756f5 completed April 1, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7c1fc848190bbb3ef6a1ed7a7d2 completed April 4, 2026, 8:11 a.m.
Created at: March 30, 2026, 7:38 p.m.