Triple

T24314607
Position Surface form Disambiguated ID Type / Status
Subject Skyhawk E612770 entity
Predicate mascotOf P52 FINISHED
Object UT Martin Skyhawks soccer team
The UT Martin Skyhawks soccer team is the collegiate soccer program representing the University of Tennessee at Martin in NCAA competition.
 E1646197 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: UT Martin Skyhawks soccer team | Statement: [Skyhawk, mascotOf, UT Martin Skyhawks soccer team]
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: UT Martin Skyhawks soccer team
Triple: [Skyhawk, mascotOf, UT Martin Skyhawks soccer team]
Generated description
The UT Martin Skyhawks soccer team is the collegiate soccer program representing the University of Tennessee at Martin in NCAA competition.

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_69e2d7da491c8190b6e6218af50923db completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f292a6377081909bf7fe66a8719d32 completed April 29, 2026, 11:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a100fd5b4048190a172255bf3f576c2 completed May 22, 2026, 8:12 a.m.
NEDg Description generation batch_6a10136871588190b4e4b4618ab7a400 completed May 22, 2026, 8:27 a.m.
NED2 Entity disambiguation (via description) batch_6a10141161b08190b471a7882a4d8aa0 completed May 22, 2026, 8:30 a.m.
Created at: April 18, 2026, 1:46 a.m.