Triple

T1987729
Position Surface form Disambiguated ID Type / Status
Subject West Chadic E43179 entity
Predicate hasMajorLanguage P207 FINISHED
Object Pero
Pero is a West Chadic language spoken in parts of Nigeria.
E222779 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: Pero | Statement: [West Chadic, hasMajorLanguage, Pero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pero
Context triple: [West Chadic, hasMajorLanguage, Pero]
  • A. Gabo
    Gabo is the affectionate diminutive nickname commonly used for the renowned Colombian writer Gabriel García Márquez.
  • B. Diego
    Diego is a given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
  • C. Perico
    Perico is a minor character in Ernest Hemingway's novella "The Old Man and the Sea," known as a young boy who helps the old fisherman Santiago by providing him with newspapers and showing him quiet support.
  • D. Perico
    Perico is a municipality and town located in Matanzas Province in western Cuba.
  • E. Chuncho
    "Chuncho" is a musical piece featured on the album *Inca Taqui*, known for its incorporation of traditional Andean sounds and themes.
  • 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: Pero
Triple: [West Chadic, hasMajorLanguage, Pero]
Generated description
Pero is a West Chadic language spoken in parts of Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pero
Target entity description: Pero is a West Chadic language spoken in parts of Nigeria.
  • A. Gabo
    Gabo is the affectionate diminutive nickname commonly used for the renowned Colombian writer Gabriel García Márquez.
  • B. Diego
    Diego is a given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
  • C. Perico
    Perico is a minor character in Ernest Hemingway's novella "The Old Man and the Sea," known as a young boy who helps the old fisherman Santiago by providing him with newspapers and showing him quiet support.
  • D. Perico
    Perico is a municipality and town located in Matanzas Province in western Cuba.
  • E. Chuncho
    "Chuncho" is a musical piece featured on the album *Inca Taqui*, known for its incorporation of traditional Andean sounds and themes.
  • 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_69a88713ddc88190a969715658ebe7a8 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb840a5708190a9b64564b855fb22 completed March 7, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae033410a88190bac79032a012549a completed March 8, 2026, 11:16 p.m.
NEDg Description generation batch_69ae03e6239881909144a41a7ef96941 completed March 8, 2026, 11:19 p.m.
NED2 Entity disambiguation (via description) batch_69ae0452e188819099de641a9afcd04c completed March 8, 2026, 11:20 p.m.
Created at: March 4, 2026, 7:37 p.m.