Triple

T6771169
Position Surface form Disambiguated ID Type / Status
Subject Fon language E155044 entity
Predicate hasDialects P4251 FINISHED
Object Weme
Weme is a dialect of the Fon language spoken by communities in parts of Benin and neighboring regions.
 E617304 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: Weme | Statement: [Fon language, hasDialects, Weme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Weme
Context triple: [Fon language, hasDialects, Weme]
  • A. Wusse
    Wusse is a small settlement in the German state of Mecklenburg-Vorpommern that serves as the administrative seat of the municipality of Ummanz.
  • B. Veeweyde
    Veeweyde is a neighborhood-level district within the Brussels municipality of Anderlecht, known primarily as a residential area served by the Veeweyde metro station.
  • C. Wyoma
    Wyoma is a residential neighborhood located within the city of Lynn in northeastern Massachusetts.
  • D. Weywot
    Weywot is a small natural satellite orbiting the Kuiper Belt dwarf planet candidate Quaoar.
  • E. Wanze
    Wanze is a municipality in eastern Belgium situated along the Meuse River in the Walloon Region.
  • 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: Weme
Triple: [Fon language, hasDialects, Weme]
Generated description
Weme is a dialect of the Fon language spoken by communities in parts of Benin and neighboring regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Weme
Target entity description: Weme is a dialect of the Fon language spoken by communities in parts of Benin and neighboring regions.
  • A. Wusse
    Wusse is a small settlement in the German state of Mecklenburg-Vorpommern that serves as the administrative seat of the municipality of Ummanz.
  • B. Veeweyde
    Veeweyde is a neighborhood-level district within the Brussels municipality of Anderlecht, known primarily as a residential area served by the Veeweyde metro station.
  • C. Wyoma
    Wyoma is a residential neighborhood located within the city of Lynn in northeastern Massachusetts.
  • D. Weywot
    Weywot is a small natural satellite orbiting the Kuiper Belt dwarf planet candidate Quaoar.
  • E. Wanze
    Wanze is a municipality in eastern Belgium situated along the Meuse River in the Walloon Region.
  • 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_69c68812ef7c819099369f51febb725c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2496fa08190895d8b625fb0d699 completed March 27, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712c46b70819097401afab991c808 completed March 27, 2026, 11:29 p.m.
NEDg Description generation batch_69c713853bf88190a8a07fd9f4ea1687 completed March 27, 2026, 11:32 p.m.
NED2 Entity disambiguation (via description) batch_69c713ead2a48190bbf95caf2ca8d997 completed March 27, 2026, 11:34 p.m.
Created at: March 27, 2026, 2:13 p.m.