Triple

T30326628
Position Surface form Disambiguated ID Type / Status
Subject Owen Field E771360 entity
Predicate partOf P40 FINISHED
Object University of Oklahoma athletics facilities
University of Oklahoma athletics facilities comprise the university’s network of venues and complexes that host its varsity sports programs, including football, basketball, baseball, and other athletic activities.
E1909243 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: University of Oklahoma athletics facilities | Statement: [Owen Field, partOf, University of Oklahoma athletics facilities]
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: University of Oklahoma athletics facilities
Triple: [Owen Field, partOf, University of Oklahoma athletics facilities]
Generated description
University of Oklahoma athletics facilities comprise the university’s network of venues and complexes that host its varsity sports programs, including football, basketball, baseball, and other athletic activities.

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_69f22489ee8481909344649bfbb92e83 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6819c2a2081909073a43ce9160ad0 completed May 2, 2026, 10:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a277c1a502c81908ad2719d7a53f810 completed June 9, 2026, 2:36 a.m.
NEDg Description generation batch_6a277cc044648190aac2bc5da147e485 completed June 9, 2026, 2:38 a.m.
NED2 Entity disambiguation (via description) batch_6a277d44cc208190aa60636c8df63242 completed June 9, 2026, 2:41 a.m.
Created at: April 29, 2026, 7:52 p.m.