Triple

T13396000
Position Surface form Disambiguated ID Type / Status
Subject Lythraceae E319702 entity
Predicate includesGenus P1393 FINISHED
Object Ammannia
Ammannia is a genus of aquatic and semi-aquatic flowering plants commonly found in wetlands and shallow waters worldwide.
 E1039630 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: Ammannia | Statement: [Lythraceae, includesGenus, Ammannia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ammannia
Context triple: [Lythraceae, includesGenus, Ammannia]
  • A. Caesonia
    Caesonia is a Roman cognomen (family name) used by women of the gens Atia in ancient Rome.
  • B. Statilia
    Statilia is an ancient Roman feminine praenomen (given name) most notably borne by the empress Statilia Messalina, wife of Emperor Nero.
  • C. Eraclea
    Eraclea is a small coastal town in northeastern Italy known for its beaches along the Adriatic Sea and its proximity to Venice.
  • D. Marcané
    Marcané is a locality within Cueto Municipality in Holguín Province, Cuba, known primarily as a small rural community.
  • E. Erminia
    Erminia is a compassionate and conflicted princess in Torquato Tasso’s epic poem "Gerusalemme liberata," known for her unrequited love for the Christian knight Tancredi and her dramatic flight from the battlefield.
  • 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: Ammannia
Triple: [Lythraceae, includesGenus, Ammannia]
Generated description
Ammannia is a genus of aquatic and semi-aquatic flowering plants commonly found in wetlands and shallow waters worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ammannia
Target entity description: Ammannia is a genus of aquatic and semi-aquatic flowering plants commonly found in wetlands and shallow waters worldwide.
  • A. Caesonia
    Caesonia is a Roman cognomen (family name) used by women of the gens Atia in ancient Rome.
  • B. Statilia
    Statilia is an ancient Roman feminine praenomen (given name) most notably borne by the empress Statilia Messalina, wife of Emperor Nero.
  • C. Eraclea
    Eraclea is a small coastal town in northeastern Italy known for its beaches along the Adriatic Sea and its proximity to Venice.
  • D. Marcané
    Marcané is a locality within Cueto Municipality in Holguín Province, Cuba, known primarily as a small rural community.
  • E. Erminia
    Erminia is a compassionate and conflicted princess in Torquato Tasso’s epic poem "Gerusalemme liberata," known for her unrequited love for the Christian knight Tancredi and her dramatic flight from the battlefield.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d892d08190b1b192b93fe3d72d completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f73071c0b88190bca3b15ea11c7491 completed May 3, 2026, 11:24 a.m.
NEDg Description generation batch_69f731c912708190af0249952e8824fb completed May 3, 2026, 11:30 a.m.
NED2 Entity disambiguation (via description) batch_69f732c14f5c8190afd989200d250783 completed May 3, 2026, 11:34 a.m.
Created at: April 9, 2026, 9:34 p.m.