Triple

T36156288
Position Surface form Disambiguated ID Type / Status
Subject FIFe breed categories E1045741 entity
Predicate defines P264 FINISHED
Object FIFe Category V
FIFe Category V is a classification group within the Fédération Internationale Féline system that encompasses specific recognized cat breeds sharing similar characteristics and standards.
 E2177940 NE FINISHED

How this triple was built (2 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: FIFe Category V | Statement: [FIFe breed categories, defines, FIFe Category V]
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: FIFe Category V
Triple: [FIFe breed categories, defines, FIFe Category V]
Generated description
FIFe Category V is a classification group within the Fédération Internationale Féline system that encompasses specific recognized cat breeds sharing similar characteristics and standards.

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_69f76e38903c8190a52887620f90aabe completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b4c7a69c8190b730f5204c2ec2e6 completed May 3, 2026, 8:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a397d6c0c088190952478b60e410e0f completed June 22, 2026, 6:22 p.m.
NEDg Description generation batch_6a397e35d3888190b06d6894064f9b46 completed June 22, 2026, 6:25 p.m.
NED2 Entity disambiguation (via description) batch_6a397f8e6c948190840bc5786c6ad123 completed June 22, 2026, 6:31 p.m.
Created at: May 3, 2026, 4:08 p.m.