Triple

T12654163
Position Surface form Disambiguated ID Type / Status
Subject Fante language E302238 entity
Predicate hasLanguageFamily P1047 FINISHED
Object Kwa E617321 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: Kwa | Statement: [Fante language, hasLanguageFamily, Kwa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kwa
Context triple: [Fante language, hasLanguageFamily, Kwa]
  • A. Kwa chosen
    Kwa is a major branch of the Niger-Congo language family that encompasses numerous languages spoken primarily in southern Ghana, Côte d’Ivoire, Togo, and neighboring West African countries.
  • B. KWA
    KWA is the IATA airport code for Bucholz Army Airfield, a joint military and civilian airfield on Kwajalein Atoll in the Marshall Islands.
  • C. Waase
    Waase is a small village on the island of Ummanz in the German state of Mecklenburg-Vorpommern.
  • D. Kwayo
    Kwayo is an alternative name for the Kwaio language, an Austronesian language spoken by the Kwaio people of Malaita in the Solomon Islands.
  • E. Kuje
    Kuje is a town and local government area located within Nigeria’s Federal Capital Territory, near the capital city of Abuja.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96160730c81909e1aa3efb51bf159 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688104d48190939933b93b7e60cc completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:18 p.m.