Triple

T27596866
Position Surface form Disambiguated ID Type / Status
Subject Paige VanZant E699922 entity
Predicate participantIn P149 FINISHED
Object UFC women’s flyweight division
The UFC women’s flyweight division is a mixed martial arts weight class for female fighters around 125 pounds, featuring athletes known for a blend of speed, technique, and finishing ability.
E1784011 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: UFC women’s flyweight division | Statement: [Paige VanZant, participantIn, UFC women’s flyweight division]
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: UFC women’s flyweight division
Triple: [Paige VanZant, participantIn, UFC women’s flyweight division]
Generated description
The UFC women’s flyweight division is a mixed martial arts weight class for female fighters around 125 pounds, featuring athletes known for a blend of speed, technique, and finishing ability.

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_69ef6a4d71f081909a1235763206b691 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f63058d8208190bc5b33eb5ebeec5c completed May 2, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12da80c0988190b360e025f089bab3 completed May 24, 2026, 11:01 a.m.
NEDg Description generation batch_6a12db2833688190af921e97c6e5d05d completed May 24, 2026, 11:04 a.m.
NED2 Entity disambiguation (via description) batch_6a12db977df48190b71bce8408b51269 completed May 24, 2026, 11:05 a.m.
Created at: April 27, 2026, 2:06 p.m.