Triple

T16751632
Position Surface form Disambiguated ID Type / Status
Subject Beti–Pahuin languages E407094 entity
Predicate hasLanguage P15 FINISHED
Object Fang-Ntumu E1223881 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: Fang-Ntumu | Statement: [Beti–Pahuin languages, hasLanguage, Fang-Ntumu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fang-Ntumu
Context triple: [Beti–Pahuin languages, hasLanguage, Fang-Ntumu]
  • A. Ntumu Fang chosen
    Ntumu Fang is a regional variety of the Fang language spoken by Beti-Fang peoples in Central Africa, particularly in areas of Cameroon and neighboring countries.
  • B. Sieniawa
    Sieniawa is a historic town in southeastern Poland known for its association with the noble Czartoryski family and their former residence.
  • C. Zanaga
    Zanaga is a subgroup of the Sanhaja, a historic Berber tribal confederation of North Africa.
  • D. Fomboni
    Fomboni is the largest town and administrative center of the island of Mohéli in the Comoros, known for its coastal setting and role as the island’s main port and commercial hub.
  • E. Datooga
    Datooga is a Southern Nilotic language spoken primarily by the Datooga people of north-central Tanzania.
  • 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_69d8838ffb088190a0b11149929006bf completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3aa271de48190b4a535408aeef734 completed April 18, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a52402848190b029cb0be31b4c74 completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:21 a.m.