Triple

T9531764
Position Surface form Disambiguated ID Type / Status
Subject Danionidae E229912 entity
Predicate contains P35 FINISHED
Object Laubuca
Laubuca is a genus of small freshwater cyprinid fishes native to South and Southeast Asia, often found in slow-moving or still waters.
 E805067 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: Laubuca | Statement: [Danionidae, contains, Laubuca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laubuca
Context triple: [Danionidae, contains, Laubuca]
  • A. Camalú
    Camalú is a coastal town in the Mexican state of Baja California, known for its agricultural activity and location along the Pacific Ocean within the municipality of Ensenada.
  • B. Cumbolo
    Cumbolo is a roots reggae album by the Jamaican band Culture, known for its spiritually charged lyrics and classic late-1970s sound.
  • C. Cailungo
    Cailungo is a locality within the municipality of Serravalle in the Republic of San Marino.
  • D. Palmilla
    Palmilla is a rural municipality in central Chile’s Colchagua Valley, known for its agricultural activity and wine production.
  • E. Ambaguio
    Ambaguio is a dialect of the Kalanguya language spoken by indigenous communities in the northern Philippines.
  • 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: Laubuca
Triple: [Danionidae, contains, Laubuca]
Generated description
Laubuca is a genus of small freshwater cyprinid fishes native to South and Southeast Asia, often found in slow-moving or still waters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laubuca
Target entity description: Laubuca is a genus of small freshwater cyprinid fishes native to South and Southeast Asia, often found in slow-moving or still waters.
  • A. Camalú
    Camalú is a coastal town in the Mexican state of Baja California, known for its agricultural activity and location along the Pacific Ocean within the municipality of Ensenada.
  • B. Cumbolo
    Cumbolo is a roots reggae album by the Jamaican band Culture, known for its spiritually charged lyrics and classic late-1970s sound.
  • C. Cailungo
    Cailungo is a locality within the municipality of Serravalle in the Republic of San Marino.
  • D. Palmilla
    Palmilla is a rural municipality in central Chile’s Colchagua Valley, known for its agricultural activity and wine production.
  • E. Ambaguio
    Ambaguio is a dialect of the Kalanguya language spoken by indigenous communities in the northern Philippines.
  • 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_69ca8479934c81908006d0e6e970ae05 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98b408648190a04127c1d47fe7d2 completed April 1, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c38a3848190ab3561f70497c9eb completed April 4, 2026, 5:36 p.m.
NEDg Description generation batch_69d14d23573c8190aeebf2fdac20a332 completed April 4, 2026, 5:40 p.m.
NED2 Entity disambiguation (via description) batch_69d14da4514481908a530b5d77ad832a completed April 4, 2026, 5:43 p.m.
Created at: March 30, 2026, 8 p.m.