Triple

T12654164
Position Surface form Disambiguated ID Type / Status
Subject Fante language E302238 entity
Predicate hasLanguageFamily P1047 FINISHED
Object Potou–Tano
Potou–Tano is a major branch of the Niger–Congo language family that includes several closely related languages spoken primarily in West Africa, notably in Ghana and neighboring countries.
 E891232 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: Potou–Tano | Statement: [Fante language, hasLanguageFamily, Potou–Tano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Potou–Tano
Context triple: [Fante language, hasLanguageFamily, Potou–Tano]
  • A. Koulamoutou
    Koulamoutou is a town in central Gabon that serves as an administrative and economic hub for the surrounding region.
  • B. Lelekou
    Lelekou is the birth surname of renowned Greek actress and singer Irene Papas.
  • C. Tagakaolo
    Tagakaolo is an indigenous ethnolinguistic group in the southern Philippines, primarily in parts of Davao and Sarangani, known for its distinct Austronesian language and cultural traditions.
  • D. Atakpamé
    Atakpamé is a major town in central Togo known as an important regional commercial and administrative center.
  • E. Baoulé
    Baoulé is a Kwa language of the Niger-Congo family spoken primarily by the Baoulé people in central Côte d'Ivoire.
  • 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: Potou–Tano
Triple: [Fante language, hasLanguageFamily, Potou–Tano]
Generated description
Potou–Tano is a major branch of the Niger–Congo language family that includes several closely related languages spoken primarily in West Africa, notably in Ghana and neighboring countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Potou–Tano
Target entity description: Potou–Tano is a major branch of the Niger–Congo language family that includes several closely related languages spoken primarily in West Africa, notably in Ghana and neighboring countries.
  • A. Koulamoutou
    Koulamoutou is a town in central Gabon that serves as an administrative and economic hub for the surrounding region.
  • B. Lelekou
    Lelekou is the birth surname of renowned Greek actress and singer Irene Papas.
  • C. Tagakaolo
    Tagakaolo is an indigenous ethnolinguistic group in the southern Philippines, primarily in parts of Davao and Sarangani, known for its distinct Austronesian language and cultural traditions.
  • D. Atakpamé
    Atakpamé is a major town in central Togo known as an important regional commercial and administrative center.
  • E. Baoulé chosen
    Baoulé is a Kwa language of the Niger-Congo family spoken primarily by the Baoulé people in central Côte d'Ivoire.
  • F. None of above.

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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96160730c81909e1aa3efb51bf159 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688104d48190939933b93b7e60cc completed May 2, 2026, 9:11 p.m.
NEDg Description generation batch_69f66c572f848190a8cad6311d3315a3 completed May 2, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_69f66cef79148190a052fb9ade3b0d27 completed May 2, 2026, 9:30 p.m.
Created at: April 9, 2026, 5:18 p.m.