Triple

T538277
Position Surface form Disambiguated ID Type / Status
Subject Moraceae E12373 entity
Predicate contains P35 FINISHED
Object Bagassa
Bagassa is a small genus of tropical trees in the mulberry family, known for species such as Bagassa guianensis found in South American rainforests.
 E67343 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: Bagassa | Statement: [Moraceae, contains, Bagassa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bagassa
Context triple: [Moraceae, contains, Bagassa]
  • A. Makira
    Makira is a large, rugged island in the Solomon Islands known for its rich biodiversity, traditional Melanesian cultures, and relatively undeveloped, rainforest-covered interior.
  • B. Tebu
    Tebu is a Saharan ethnic group and language community primarily inhabiting parts of southern Libya, Chad, and Niger.
  • C. Croton
    Croton was an important ancient Greek city in southern Italy, renowned for its athletic achievements and as the home of the philosopher Pythagoras.
  • D. Egba
    Egba is a prominent subgroup of the Yoruba people in southwestern Nigeria, historically centered around the city of Abeokuta and known for its rich cultural and political heritage.
  • E. Canela
    Canela is a coastal rural municipality in Chile’s Coquimbo Region, known for its small agricultural communities and semi-arid landscapes.
  • 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: Bagassa
Triple: [Moraceae, contains, Bagassa]
Generated description
Bagassa is a small genus of tropical trees in the mulberry family, known for species such as Bagassa guianensis found in South American rainforests.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bagassa
Target entity description: Bagassa is a small genus of tropical trees in the mulberry family, known for species such as Bagassa guianensis found in South American rainforests.
  • A. Makira
    Makira is a large, rugged island in the Solomon Islands known for its rich biodiversity, traditional Melanesian cultures, and relatively undeveloped, rainforest-covered interior.
  • B. Tebu
    Tebu is a Saharan ethnic group and language community primarily inhabiting parts of southern Libya, Chad, and Niger.
  • C. Croton
    Croton was an important ancient Greek city in southern Italy, renowned for its athletic achievements and as the home of the philosopher Pythagoras.
  • D. Egba
    Egba is a prominent subgroup of the Yoruba people in southwestern Nigeria, historically centered around the city of Abeokuta and known for its rich cultural and political heritage.
  • E. Canela
    Canela is a coastal rural municipality in Chile’s Coquimbo Region, known for its small agricultural communities and semi-arid landscapes.
  • 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_69a4933208e88190891f5debab1b776d completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a496dc0aac8190afb75ec6c47a1d2d completed March 1, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4c66fa348819081e004fb4350f4ea completed March 1, 2026, 11:06 p.m.
NEDg Description generation batch_69a4c71594dc819089ac4ae0f8668135 completed March 1, 2026, 11:09 p.m.
NED2 Entity disambiguation (via description) batch_69a4c776f7308190ab559d4f0efd95de completed March 1, 2026, 11:10 p.m.
Created at: March 1, 2026, 7:32 p.m.