Triple

T9542240
Position Surface form Disambiguated ID Type / Status
Subject Chacidae E230184 entity
Predicate containsGenus P9413 FINISHED
Object Chaca
Chaca is a genus of freshwater catfish known for its flattened body, large mouth, and bottom-dwelling, ambush-predator lifestyle in South and Southeast Asian waters.
 E807539 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: Chaca | Statement: [Chacidae, containsGenus, Chaca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chaca
Context triple: [Chacidae, containsGenus, Chaca]
  • A. Caviahue
    Caviahue is a small Argentine town and ski resort in the Andes, known for its volcanic landscapes, thermal waters, and proximity to the Copahue volcano.
  • B. El Chañar
    El Chañar is a small rural settlement located in the Río Hurtado area of Chile’s Coquimbo Region.
  • C. Guayaramerín
    Guayaramerín is a Bolivian town and river port in the Beni Department, located on the Mamoré River near the border with Brazil.
  • D. Cutral Có
    Cutral Có is a city in western Argentina known as an important oil and gas center within Neuquén Province.
  • E. Vizcaína
    Vizcaína was one of the ships in Christopher Columbus’s fourth voyage to the Americas in the early 16th 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: Chaca
Triple: [Chacidae, containsGenus, Chaca]
Generated description
Chaca is a genus of freshwater catfish known for its flattened body, large mouth, and bottom-dwelling, ambush-predator lifestyle in South and Southeast Asian waters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chaca
Target entity description: Chaca is a genus of freshwater catfish known for its flattened body, large mouth, and bottom-dwelling, ambush-predator lifestyle in South and Southeast Asian waters.
  • A. Caviahue
    Caviahue is a small Argentine town and ski resort in the Andes, known for its volcanic landscapes, thermal waters, and proximity to the Copahue volcano.
  • B. El Chañar
    El Chañar is a small rural settlement located in the Río Hurtado area of Chile’s Coquimbo Region.
  • C. Guayaramerín
    Guayaramerín is a Bolivian town and river port in the Beni Department, located on the Mamoré River near the border with Brazil.
  • D. Cutral Có
    Cutral Có is a city in western Argentina known as an important oil and gas center within Neuquén Province.
  • E. Vizcaína
    Vizcaína was one of the ships in Christopher Columbus’s fourth voyage to the Americas in the early 16th 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_69ca847c70b8819088a0a0bad64a50d6 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98e82bb08190aed3ed0627923d22 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1527c0914819087ffa9d201afdd35 completed April 4, 2026, 6:03 p.m.
NEDg Description generation batch_69d153d59844819086a0f50e6a7624b2 completed April 4, 2026, 6:09 p.m.
NED2 Entity disambiguation (via description) batch_69d1546a503c81908edc9588adabc172 completed April 4, 2026, 6:11 p.m.
Created at: March 30, 2026, 8:01 p.m.