Triple

T2740935
Position Surface form Disambiguated ID Type / Status
Subject Ndowe E60746 entity
Predicate coexistsWithLanguage P41297 FINISHED
Object Pichi
Pichi is an English-based creole language spoken primarily on the island of Bioko in Equatorial Guinea.
E295926 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: Pichi | Statement: [Ndowe, coexistsWithLanguage, Pichi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pichi
Context triple: [Ndowe, coexistsWithLanguage, Pichi]
  • A. Pájara
    Pájara is a coastal municipality on the southwestern part of Fuerteventura in Spain’s Canary Islands, known for its extensive beaches and tourist resorts such as Costa Calma and Morro Jable.
  • B. Pikit
    Pikit is a municipality in the province of North Cotabato in the Philippines, known for its diverse cultural communities and its location in the conflict-affected but strategically important Mindanao region.
  • C. Pajari
    Pajari is a Finnish surname most notably associated with Aaro Pajari, a distinguished Finnish military officer of World War II.
  • D. Sucúa
    Sucúa is a small town in the Amazonian region of Ecuador known for its lush rainforest surroundings and indigenous Shuar culture.
  • E. Pierre the Pelican
    Pierre the Pelican is the costumed pelican mascot who entertains fans at New Orleans Pelicans basketball games with on-court antics and crowd interaction.
  • 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: Pichi
Triple: [Ndowe, coexistsWithLanguage, Pichi]
Generated description
Pichi is an English-based creole language spoken primarily on the island of Bioko in Equatorial Guinea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pichi
Target entity description: Pichi is an English-based creole language spoken primarily on the island of Bioko in Equatorial Guinea.
  • A. Pájara
    Pájara is a coastal municipality on the southwestern part of Fuerteventura in Spain’s Canary Islands, known for its extensive beaches and tourist resorts such as Costa Calma and Morro Jable.
  • B. Pikit
    Pikit is a municipality in the province of North Cotabato in the Philippines, known for its diverse cultural communities and its location in the conflict-affected but strategically important Mindanao region.
  • C. Pajari
    Pajari is a Finnish surname most notably associated with Aaro Pajari, a distinguished Finnish military officer of World War II.
  • D. Sucúa
    Sucúa is a small town in the Amazonian region of Ecuador known for its lush rainforest surroundings and indigenous Shuar culture.
  • E. Pierre the Pelican
    Pierre the Pelican is the costumed pelican mascot who entertains fans at New Orleans Pelicans basketball games with on-court antics and crowd interaction.
  • 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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd1fc30c81909ac06588d50abdf8 completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbca8ac081909ce86d4cd911b4f1 completed March 10, 2026, 6:35 a.m.
NEDg Description generation batch_69afbcc1dd988190826ab05e55adf1ee completed March 10, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_69afbd452e1c8190a3ee9eaf642e80a0 completed March 10, 2026, 6:42 a.m.
Created at: March 6, 2026, 9:56 p.m.