Triple

T24860885
Position Surface form Disambiguated ID Type / Status
Subject Golden Tornadoes E622146 entity
Predicate region P40 FINISHED
Object NCAA Division III – Region 7
NCAA Division III – Region 7 is a geographic grouping within NCAA Division III that organizes and ranks member colleges and universities for regional competition and postseason selection.
E1651070 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: NCAA Division III – Region 7 | Statement: [Golden Tornadoes, region, NCAA Division III – Region 7]
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: NCAA Division III – Region 7
Triple: [Golden Tornadoes, region, NCAA Division III – Region 7]
Generated description
NCAA Division III – Region 7 is a geographic grouping within NCAA Division III that organizes and ranks member colleges and universities for regional competition and postseason selection.

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_69e2fac350d08190b3affde1b451a8c5 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f422ecd4088190bf1905b887fef10f completed May 1, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a101c5950908190a1425f40c1eff647 completed May 22, 2026, 9:05 a.m.
NEDg Description generation batch_6a1024ac6320819099045f28aea135cf completed May 22, 2026, 9:41 a.m.
NED2 Entity disambiguation (via description) batch_6a102586c1288190bf8eeb513537b189 completed May 22, 2026, 9:44 a.m.
Created at: April 18, 2026, 5:22 a.m.