Triple

T6276700
Position Surface form Disambiguated ID Type / Status
Subject Limba E140678 entity
Predicate language P15 FINISHED
Object Limba language E140678 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: Limba language | Statement: [Limba, language, Limba language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Limba language
Context triple: [Limba, language, Limba language]
  • A. Limba chosen
    The Limba are one of the largest and oldest indigenous ethnic groups in Sierra Leone, known for their distinct language, cultural traditions, and historical role in the country’s northern regions.
  • B. Li language
    Li language is an Austroasiatic language (often classified within the Tai–Kadai family) spoken primarily by the Li ethnic group indigenous to China’s Hainan Island.
  • C. Uma language
    Uma is an Austronesian language of the Celebic subgroup spoken primarily in Central Sulawesi, Indonesia.
  • D. ML language family
    The ML language family is a group of statically typed functional programming languages, including Standard ML, OCaml, and F#, known for strong type systems, type inference, and support for higher-order functions.
  • E. Lawangan language
    The Lawangan language is an Austronesian language spoken by the Lawangan people of central Kalimantan in Indonesia.
  • 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_69c008cc158881908df6ec94a911c736 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063d96fbc8190a9091456b82762d1 completed March 22, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c519478ed88190913f9e3ccf6368f1 completed March 26, 2026, 11:32 a.m.
Created at: March 22, 2026, 4:26 p.m.