Triple

T26802394
Position Surface form Disambiguated ID Type / Status
Subject Siena Saints men's basketball E671135 entity
Predicate rivalry P903 FINISHED
Object Albany Cup
The Albany Cup is an annual college basketball rivalry game between the Siena Saints and the University at Albany Great Danes that determines local bragging rights in New York’s Capital Region.
E1742464 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: Albany Cup | Statement: [Siena Saints men's basketball, rivalry, Albany Cup]
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: Albany Cup
Triple: [Siena Saints men's basketball, rivalry, Albany Cup]
Generated description
The Albany Cup is an annual college basketball rivalry game between the Siena Saints and the University at Albany Great Danes that determines local bragging rights in New York’s Capital Region.

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_69eeb31fbd888190a82dac5822e453bc completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f61a19604881908083cbc5e4e38559 completed May 2, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12096e24388190994269a260b0ce8f completed May 23, 2026, 8:09 p.m.
NEDg Description generation batch_6a120a1188e0819095663b85c750523f completed May 23, 2026, 8:12 p.m.
NED2 Entity disambiguation (via description) batch_6a120b39cddc8190a6c89274fc238b1a completed May 23, 2026, 8:16 p.m.
Created at: April 27, 2026, 4:24 a.m.