Triple

T34926523
Position Surface form Disambiguated ID Type / Status
Subject UFC 280 E1007302 entity
Predicate coMainEventWeightClass P8068 FINISHED
Object UFC Bantamweight Championship
The UFC Bantamweight Championship is the Ultimate Fighting Championship title contested by elite mixed martial artists in the 135-pound weight division.
E2119865 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 Bantamweight Championship | Statement: [UFC 280, coMainEventWeightClass, UFC Bantamweight Championship]
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 Bantamweight Championship
Triple: [UFC 280, coMainEventWeightClass, UFC Bantamweight Championship]
Generated description
The UFC Bantamweight Championship is the Ultimate Fighting Championship title contested by elite mixed martial artists in the 135-pound weight division.

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_69f76dc3d83881909d5c3c14455cfa2c completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f782524b648190a25270bd246ec786 completed May 3, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37b2621dfc8190a3e5f0ff4f253df0 completed June 21, 2026, 9:44 a.m.
NEDg Description generation batch_6a37b33636648190abc55c95b64916ad completed June 21, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_6a37b41c5968819082c2da527dea016e completed June 21, 2026, 9:51 a.m.
Created at: May 3, 2026, 4 p.m.