Triple

T12131503
Position Surface form Disambiguated ID Type / Status
Subject Cornaceae E288944 entity
Predicate containsGenus P9413 FINISHED
Object Metteniusa
Metteniusa is a genus of flowering plants comprising small trees or shrubs native to tropical regions of the Americas.
E963931 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: Metteniusa | Statement: [Cornaceae, containsGenus, Metteniusa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metteniusa
Context triple: [Cornaceae, containsGenus, Metteniusa]
  • A. Thascius
    Thascius is the family name of the early Christian bishop and martyr Cyprian of Carthage.
  • B. Nevarro
    Nevarro is a rugged Outer Rim planet in the Star Wars universe, known as a hub for bounty hunters and the Bounty Hunters' Guild in The Mandalorian.
  • C. Mamercinus
    Mamercinus is a cognomen used by members of the ancient Roman patrician gens Aemilia, distinguishing a particular branch of this prominent family.
  • D. Maternus
    Maternus is a character in Tacitus’ *Dialogus de oratoribus*, depicted as an orator and dramatist whose views help explore the decline of Roman eloquence.
  • E. Ager Lanuvinus
    Ager Lanuvinus was the rural territory surrounding the ancient Latin city of Lanuvium in central Italy, known for its agricultural land and integration into the broader region of Latium.
  • 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: Metteniusa
Triple: [Cornaceae, containsGenus, Metteniusa]
Generated description
Metteniusa is a genus of flowering plants comprising small trees or shrubs native to tropical regions of the Americas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Metteniusa
Target entity description: Metteniusa is a genus of flowering plants comprising small trees or shrubs native to tropical regions of the Americas.
  • A. Thascius
    Thascius is the family name of the early Christian bishop and martyr Cyprian of Carthage.
  • B. Nevarro
    Nevarro is a rugged Outer Rim planet in the Star Wars universe, known as a hub for bounty hunters and the Bounty Hunters' Guild in The Mandalorian.
  • C. Mamercinus
    Mamercinus is a cognomen used by members of the ancient Roman patrician gens Aemilia, distinguishing a particular branch of this prominent family.
  • D. Maternus
    Maternus is a character in Tacitus’ *Dialogus de oratoribus*, depicted as an orator and dramatist whose views help explore the decline of Roman eloquence.
  • E. Ager Lanuvinus
    Ager Lanuvinus was the rural territory surrounding the ancient Latin city of Lanuvium in central Italy, known for its agricultural land and integration into the broader region of Latium.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158b34648190b5eecdf9b07fbb3f completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f68c8ee081908a0331805f62cb0d completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f5fed2d57881908103ce89a365cdd4 completed May 2, 2026, 1:40 p.m.
NED2 Entity disambiguation (via description) batch_69f600bcaf288190b6204f985d3be638 completed May 2, 2026, 1:48 p.m.
Created at: April 8, 2026, 9:49 p.m.