Triple

T18265108
Position Surface form Disambiguated ID Type / Status
Subject Forro language E437462 entity
Predicate coexistsWith P1867 FINISHED
Object Angolar language
Angolar is a Portuguese-based creole language spoken primarily by the Angolar community on São Tomé Island in São Tomé and Príncipe.
 E1315911 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: Angolar language | Statement: [Forro language, coexistsWith, Angolar language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Angolar language
Context triple: [Forro language, coexistsWith, Angolar language]
  • A. Awngi language
    The Awngi language is a Central Cushitic (Agaw) language spoken primarily in northwestern Ethiopia by the Awi people.
  • B. Annang language
    The Annang language is a Niger-Congo language spoken primarily by the Annang people of southern Nigeria, closely associated with the Ibibio-Efik linguistic cluster.
  • C. Anakalangu language
    The Anakalangu language is an Austronesian language spoken by communities on the island of Sumba in eastern Indonesia.
  • D. Angas languages
    Angas languages are a group of closely related Chadic languages spoken primarily in central Nigeria.
  • E. Nngu language
    Nngu is a Bantu language spoken on the northeast coast of Africa, belonging to the Northeast Coast Bantu subgroup.
  • 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: Angolar language
Triple: [Forro language, coexistsWith, Angolar language]
Generated description
Angolar is a Portuguese-based creole language spoken primarily by the Angolar community on São Tomé Island in São Tomé and Príncipe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Angolar language
Target entity description: Angolar is a Portuguese-based creole language spoken primarily by the Angolar community on São Tomé Island in São Tomé and Príncipe.
  • A. Awngi language
    The Awngi language is a Central Cushitic (Agaw) language spoken primarily in northwestern Ethiopia by the Awi people.
  • B. Annang language
    The Annang language is a Niger-Congo language spoken primarily by the Annang people of southern Nigeria, closely associated with the Ibibio-Efik linguistic cluster.
  • C. Anakalangu language
    The Anakalangu language is an Austronesian language spoken by communities on the island of Sumba in eastern Indonesia.
  • D. Angas languages
    Angas languages are a group of closely related Chadic languages spoken primarily in central Nigeria.
  • E. Nngu language
    Nngu is a Bantu language spoken on the northeast coast of Africa, belonging to the Northeast Coast Bantu subgroup.
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ff79851481909a4bbeb14fb00647 completed April 19, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03b3f6c1b081908fdd0ccb6f1bf633 completed May 12, 2026, 11:12 p.m.
NEDg Description generation batch_6a03b4f0cd188190a9577a3999a5b473 completed May 12, 2026, 11:17 p.m.
NED2 Entity disambiguation (via description) batch_6a03b5c09f4881909fb0ead5fc48895c completed May 12, 2026, 11:20 p.m.
Created at: April 10, 2026, 10:34 a.m.