Triple

T25096949
Position Surface form Disambiguated ID Type / Status
Subject Luleå HF E628613 entity
Predicate homeArena P373 FINISHED
Object Coop Norrbotten Arena
Coop Norrbotten Arena is an ice hockey venue in Luleå, Sweden, best known as the primary home rink of the professional club Luleå HF.
 E1663737 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: Coop Norrbotten Arena | Statement: [Luleå HF, homeArena, Coop Norrbotten Arena]
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: Coop Norrbotten Arena
Triple: [Luleå HF, homeArena, Coop Norrbotten Arena]
Generated description
Coop Norrbotten Arena is an ice hockey venue in Luleå, Sweden, best known as the primary home rink of the professional club Luleå HF.

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_69e2ff2f58e881908340527bc5d34f07 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f464b9651481908d4d7584717f5c59 completed May 1, 2026, 8:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1048ec22bc81909dc65427b0d0db4f completed May 22, 2026, 12:15 p.m.
NEDg Description generation batch_6a104a6df4208190b8fa9647b516b7fc completed May 22, 2026, 12:22 p.m.
NED2 Entity disambiguation (via description) batch_6a104c29b7ec8190b6ecf8d745b9ce90 completed May 22, 2026, 12:29 p.m.
Created at: April 18, 2026, 6:25 a.m.