Triple

T19004000
Position Surface form Disambiguated ID Type / Status
Subject Mansaka people E465026 entity
Predicate hasAutonym P1435 FINISHED
Object Mansaka 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: Mansaka | Statement: [Mansaka people, hasAutonym, Mansaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mansaka
Context triple: [Mansaka people, hasAutonym, Mansaka]
  • A. Mansaka chosen
    Mansaka is an Austronesian language spoken by the indigenous Mansaka people of southeastern Mindanao in the Philippines.
  • B. Makuna
    Makuna is an indigenous Tucanoan language spoken by the Makuna people of the northwest Amazon region, primarily in Colombia and Brazil.
  • C. Mankoya
    Mankoya is a dialect of the Silozi language spoken by communities in parts of southwestern Zambia.
  • D. Masego
    Masego is an American musician, singer, and producer known for his genre-blending "TrapHouseJazz" style that fuses jazz, R&B, and hip-hop.
  • E. Mamati
    Mamati is a village in western Georgia notable as the birthplace of former Soviet and Georgian politician Eduard Shevardnadze.
  • 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6a3db9c8190a1bf0228e360a6e0 completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:01 p.m.