Triple

T7879528
Position Surface form Disambiguated ID Type / Status
Subject Ga Mantse E182941 entity
Predicate titleLanguage P15 FINISHED
Object Ga E34473 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: Ga | Statement: [Ga Mantse, titleLanguage, Ga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ga
Context triple: [Ga Mantse, titleLanguage, Ga]
  • A. Ga chosen
    Ga is a Kwa language spoken primarily by the Ga people in and around Accra, the capital region of Ghana.
  • B. GV
    GV is the venture capital investment arm of Alphabet Inc., focused on funding and supporting innovative technology startups.
  • C. GU
    GU is a United Kingdom postcode area covering Guildford and surrounding parts of Surrey and nearby counties.
  • D. GU
    GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
  • E. Gro
    Gro is the given name of Gro Harlem Brundtland, the Norwegian physician and politician who served three terms as Prime Minister of Norway and later led the World Health Organization.
  • 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_69ca828a17248190b46defe758bc5ad3 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39be7ab88190affcd353a0cd37fa completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc561d31888190bae66fb009ace1a1 completed March 31, 2026, 11:17 p.m.
Created at: March 30, 2026, 4:57 p.m.