Triple

T2811943
Position Surface form Disambiguated ID Type / Status
Subject Mande languages E54190 entity
Predicate hasMajorLanguage P207 FINISHED
Object Loko
Loko is a Mande language spoken primarily in parts of Sierra Leone by the Loko ethnic group.
 E302234 NE FINISHED

How this triple was built (4 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: Loko | Statement: [Mande languages, hasMajorLanguage, Loko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Loko
Context triple: [Mande languages, hasMajorLanguage, Loko]
  • A. Loko
    Loko is the popular nickname of Lokomotiv Yaroslavl, a professional ice hockey team based in Yaroslavl, Russia.
  • B. Lokoja
    Lokoja is a city in central Nigeria located at the strategic confluence of the Niger and Benue rivers and serves as the capital of Kogi State.
  • C. Lapa
    Lapa is a historic and bohemian neighborhood in Rio de Janeiro, Brazil, famous for its vibrant nightlife, samba clubs, and iconic aqueduct arches.
  • D. Loiceño
    Loiceño is the Spanish demonym for a person from the municipality of Loíza in Puerto Rico.
  • E. Vangunu
    Vangunu is an Oceanic language of the Meso-Melanesian group spoken on Vangunu Island in the Solomon Islands.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Loko
Triple: [Mande languages, hasMajorLanguage, Loko]
Generated description
Loko is a Mande language spoken primarily in parts of Sierra Leone by the Loko ethnic group.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Loko
Target entity description: Loko is a Mande language spoken primarily in parts of Sierra Leone by the Loko ethnic group.
  • A. Loko
    Loko is the popular nickname of Lokomotiv Yaroslavl, a professional ice hockey team based in Yaroslavl, Russia.
  • B. Lokoja
    Lokoja is a city in central Nigeria located at the strategic confluence of the Niger and Benue rivers and serves as the capital of Kogi State.
  • C. Lapa
    Lapa is a historic and bohemian neighborhood in Rio de Janeiro, Brazil, famous for its vibrant nightlife, samba clubs, and iconic aqueduct arches.
  • D. Loiceño
    Loiceño is the Spanish demonym for a person from the municipality of Loíza in Puerto Rico.
  • E. Vangunu
    Vangunu is an Oceanic language of the Meso-Melanesian group spoken on Vangunu Island in the Solomon Islands.
  • F. None of above. chosen

Provenance (5 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_69ab49de0af08190b3da69683be1e728 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde354a5881908cd3d545f7dda81c completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce9a76388190a5dce756de2eb59f completed March 10, 2026, 7:56 a.m.
NEDg Description generation batch_69afd0b179ac8190a260003b9a457180 completed March 10, 2026, 8:05 a.m.
NED2 Entity disambiguation (via description) batch_69afd10b07748190935cce94cd9b2a13 completed March 10, 2026, 8:06 a.m.
Created at: March 6, 2026, 9:59 p.m.