Triple

T12654063
Position Surface form Disambiguated ID Type / Status
Subject Central Tano E302236 entity
Predicate hasLanguage P15 FINISHED
Object Avikam E634471 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: Avikam | Statement: [Central Tano, hasLanguage, Avikam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avikam
Context triple: [Central Tano, hasLanguage, Avikam]
  • A. Avikam chosen
    Avikam is a Kwa language spoken by the Avikam people in southern Côte d'Ivoire.
  • B. Avikam-Brignan
    Avikam-Brignan is an alternate name for the Avikam language, a Kwa language spoken by the Avikam people of southern Côte d'Ivoire.
  • C. Akhami
    Akhami is an alternative name for the Achomi language, an Iranian language spoken primarily by communities in southern Iran and the Persian Gulf region.
  • D. Ein Avdat
    Ein Avdat is a dramatic desert canyon and oasis in southern Israel known for its steep cliffs, springs, and hiking trails.
  • E. Tohorot
    Tohorot is a tractate of the Mishnah that deals with the complex laws of ritual purity and impurity.
  • 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.