Triple

T2233547
Position Surface form Disambiguated ID Type / Status
Subject Maban languages E49225 entity
Predicate hasNotableLanguage P7390 FINISHED
Object Masalit language E247373 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: Masalit language | Statement: [Maban languages, hasNotableLanguage, Masalit language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Masalit language
Context triple: [Maban languages, hasNotableLanguage, Masalit language]
  • A. Masalit language chosen
    Masalit language is an Eastern Sudanic language spoken primarily by the Masalit people in western Sudan and eastern Chad.
  • B. Lasalimu language
    The Lasalimu language is an Austronesian language spoken by a small community on Buton Island in Southeast Sulawesi, Indonesia.
  • C. Zabana language
    The Zabana language is an Oceanic language spoken primarily on Santa Isabel Island in the Solomon Islands.
  • D. Saluan language
    The Saluan language is an Austronesian language spoken by the Saluan people of central and eastern Sulawesi, Indonesia.
  • E. Malaita languages
    Malaita languages are a subgroup of Oceanic languages spoken primarily on Malaita Island in the Solomon Islands, known for their diversity and significance within the Southeast Solomonic branch.
  • 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_69a88aa84bdc819086df50e9c20b301e completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0913f1c8190ac9cfeb0f1c84a76 completed March 7, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71ba743081908e2697374e710681 completed March 9, 2026, 7:07 a.m.
Created at: March 4, 2026, 7:47 p.m.