Triple

T12653816
Position Surface form Disambiguated ID Type / Status
Subject Loma E302229 entity
Predicate neighboringLanguages P16383 FINISHED
Object Kissi E414777 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: Kissi | Statement: [Loma, neighboringLanguages, Kissi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kissi
Context triple: [Loma, neighboringLanguages, Kissi]
  • A. Kissi chosen
    Kissi is a West African language spoken primarily by the Kissi people in parts of Guinea, Sierra Leone, and Liberia.
  • B. Küng
    Küng is a Swiss surname most prominently associated with Hans Küng, a renowned Catholic theologian and critic of papal infallibility.
  • C. Belka
    Belka is a Polish surname most notably borne by Marek Belka, an economist and former Prime Minister of Poland.
  • D. Katt
    Katt is the surname of American actor Nicky Katt, known for his character roles in film and television.
  • E. Kittu
    Kittu is a Mesopotamian deity associated with truth and justice, traditionally regarded as a child or attendant of the sun god Shamash.
  • 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.