Triple

T24949796
Position Surface form Disambiguated ID Type / Status
Subject Marion Blue Racers E624295 entity
Predicate league P888 FINISHED
Object Ultimate Indoor Football League
The Ultimate Indoor Football League was a short-lived professional indoor American football league that operated in the early 2010s, featuring teams primarily from smaller U.S. markets.
E1678030 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: Ultimate Indoor Football League | Statement: [Marion Blue Racers, league, Ultimate Indoor Football League]
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: Ultimate Indoor Football League
Triple: [Marion Blue Racers, league, Ultimate Indoor Football League]
Generated description
The Ultimate Indoor Football League was a short-lived professional indoor American football league that operated in the early 2010s, featuring teams primarily from smaller U.S. markets.

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_69e2ff22e4c48190a0444b5a044f14e8 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f423fea68881908d5a9984ad5e944b completed May 1, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10895952cc81909c2a22793ffb7872 completed May 22, 2026, 4:50 p.m.
NEDg Description generation batch_6a108a429fd4819086b842d38c777075 completed May 22, 2026, 4:54 p.m.
NED2 Entity disambiguation (via description) batch_6a108ad0b48c8190b31b28d870e3b200 completed May 22, 2026, 4:56 p.m.
Created at: April 18, 2026, 5:56 a.m.