Triple

T26597674
Position Surface form Disambiguated ID Type / Status
Subject Mutual Street Arena E667533 entity
Predicate tenant P75 FINISHED
Object Toronto St. Patricks
The Toronto St. Patricks were an early 20th-century professional ice hockey team in the National Hockey League that later became the modern-day Toronto Maple Leafs.
E14103 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: Toronto St. Patricks | Statement: [Mutual Street Arena, tenant, Toronto St. Patricks]
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: Toronto St. Patricks
Triple: [Mutual Street Arena, tenant, Toronto St. Patricks]
Generated description
The Toronto St. Patricks were an early 20th-century professional ice hockey team in the National Hockey League that later became the modern-day Toronto Maple Leafs.

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_69ee9cfc385081909ac9ae178030a06e completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f6152acd1c8190b2b357c93b2b3d3c completed May 2, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a121e7b4b34819097302674c5722801 completed May 23, 2026, 9:39 p.m.
NEDg Description generation batch_6a121f0ade0481909f63ec824a028120 completed May 23, 2026, 9:41 p.m.
NED2 Entity disambiguation (via description) batch_6a121f80ab148190a642473aff894d9c completed May 23, 2026, 9:43 p.m.
Created at: April 27, 2026, 2:11 a.m.