Triple

T3774280
Position Surface form Disambiguated ID Type / Status
Subject Discocnide E83269 entity
Predicate hasTypeSpecies P7381 FINISHED
Object Discocnide mexicana
Discocnide mexicana is a plant species in the nettle family (Urticaceae) and the type species of the genus Discocnide.
 E387230 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: Discocnide mexicana | Statement: [Discocnide, hasTypeSpecies, Discocnide mexicana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Discocnide mexicana
Context triple: [Discocnide, hasTypeSpecies, Discocnide mexicana]
  • A. Tocopilla
    Tocopilla is a coastal city and port in northern Chile known for its mining industry and location on the Pacific Ocean.
  • B. Matucana
    Matucana is a small Andean town in Peru that serves as the capital of Huarochirí Province in the Lima Region.
  • C. Acamas
    Acamas is a figure in Greek mythology, traditionally known as a son of the Athenian hero Theseus who took part in events surrounding the Trojan War.
  • D. Tecuala
    Tecuala is a municipality and town in the Mexican state of Nayarit, known for its agricultural activities and proximity to coastal wetlands along the Pacific.
  • E. Mocorito
    Mocorito is a historic town and municipality in the Mexican state of Sinaloa, known for its colonial architecture and cultural traditions.
  • 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: Discocnide mexicana
Triple: [Discocnide, hasTypeSpecies, Discocnide mexicana]
Generated description
Discocnide mexicana is a plant species in the nettle family (Urticaceae) and the type species of the genus Discocnide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Discocnide mexicana
Target entity description: Discocnide mexicana is a plant species in the nettle family (Urticaceae) and the type species of the genus Discocnide.
  • A. Tocopilla
    Tocopilla is a coastal city and port in northern Chile known for its mining industry and location on the Pacific Ocean.
  • B. Matucana
    Matucana is a small Andean town in Peru that serves as the capital of Huarochirí Province in the Lima Region.
  • C. Acamas
    Acamas is a figure in Greek mythology, traditionally known as a son of the Athenian hero Theseus who took part in events surrounding the Trojan War.
  • D. Tecuala
    Tecuala is a municipality and town in the Mexican state of Nayarit, known for its agricultural activities and proximity to coastal wetlands along the Pacific.
  • E. Mocorito
    Mocorito is a historic town and municipality in the Mexican state of Sinaloa, known for its colonial architecture and cultural traditions.
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc594c50819099ab5ac1b82f61a6 completed March 8, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e52ebd988190b6e3a7d8069b74be completed March 14, 2026, 4:33 a.m.
NEDg Description generation batch_69b4e64663b881908469456b15bc2687 completed March 14, 2026, 4:38 a.m.
NED2 Entity disambiguation (via description) batch_69b4ea0de7708190abe4be1c8af3cd71 completed March 14, 2026, 4:54 a.m.
Created at: March 8, 2026, 3:36 p.m.