Triple

T33220981
Position Surface form Disambiguated ID Type / Status
Subject Pine City, Minnesota E850419 entity
Predicate hasCulturalAttraction P3114 FINISHED
Object Pine Center for the Arts
Pine Center for the Arts is a community-focused arts organization and gallery in Pine City, Minnesota, that hosts exhibitions, classes, and cultural events.
E2041838 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: Pine Center for the Arts | Statement: [Pine City, Minnesota, hasCulturalAttraction, Pine Center for the Arts]
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: Pine Center for the Arts
Triple: [Pine City, Minnesota, hasCulturalAttraction, Pine Center for the Arts]
Generated description
Pine Center for the Arts is a community-focused arts organization and gallery in Pine City, Minnesota, that hosts exhibitions, classes, and cultural events.

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_69f3496083dc8190b229bb6932dc548b completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6da6fe20c8190886717165014b77f completed May 3, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a352fd3d6f4819094cd76a20e5e85af completed June 19, 2026, 12:02 p.m.
NEDg Description generation batch_6a3530781f548190b29ceca0c6dcf672 completed June 19, 2026, 12:05 p.m.
NED2 Entity disambiguation (via description) batch_6a35325603588190bc3f2996b913be4e completed June 19, 2026, 12:13 p.m.
Created at: May 1, 2026, 1:30 a.m.