Triple

T12654071
Position Surface form Disambiguated ID Type / Status
Subject Central Tano E302236 entity
Predicate hasLanguage P15 FINISHED
Object Wane
Wane is a lesser-known Central Tano language spoken by a small community in West Africa, likely within the Akan-related language group.
 E996653 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: Wane | Statement: [Central Tano, hasLanguage, Wane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wane
Context triple: [Central Tano, hasLanguage, Wane]
  • A. Wanze
    Wanze is a municipality in eastern Belgium situated along the Meuse River in the Walloon Region.
  • B. Wala
    The Wala are an ethnic group primarily inhabiting the Upper West Region of Ghana, known for their Islamic heritage, centralized chieftaincy system, and rich traditions in trade and craftsmanship.
  • C. Wala
    Wala is an Oceanic language variety spoken in Vanuatu, recognized as one of the dialects within the Uripiv-Wala-Rano-Atchin dialect chain.
  • D. Wanne
    Wanne is a village in the municipality of Trois-Ponts in the province of Liège, Belgium, known for its hilly Ardennes landscape and cycling routes.
  • E. Waner
    Waner is a surname most notably associated with Baseball Hall of Famer Paul Waner, a star outfielder for the Pittsburgh Pirates in the early 20th century.
  • 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: Wane
Triple: [Central Tano, hasLanguage, Wane]
Generated description
Wane is a lesser-known Central Tano language spoken by a small community in West Africa, likely within the Akan-related language group.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wane
Target entity description: Wane is a lesser-known Central Tano language spoken by a small community in West Africa, likely within the Akan-related language group.
  • A. Wanze
    Wanze is a municipality in eastern Belgium situated along the Meuse River in the Walloon Region.
  • B. Wala
    The Wala are an ethnic group primarily inhabiting the Upper West Region of Ghana, known for their Islamic heritage, centralized chieftaincy system, and rich traditions in trade and craftsmanship.
  • C. Wala
    Wala is an Oceanic language variety spoken in Vanuatu, recognized as one of the dialects within the Uripiv-Wala-Rano-Atchin dialect chain.
  • D. Wanne
    Wanne is a village in the municipality of Trois-Ponts in the province of Liège, Belgium, known for its hilly Ardennes landscape and cycling routes.
  • E. Waner
    Waner is a surname most notably associated with Baseball Hall of Famer Paul Waner, a star outfielder for the Pittsburgh Pirates in the early 20th century.
  • 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_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.