Triple

T24782113
Position Surface form Disambiguated ID Type / Status
Subject Jefferson Park, Chicago E620021 entity
Predicate hasEvent P811 FINISHED
Object Taste of Polonia festival
Taste of Polonia festival is a major annual Polish cultural and food festival in Chicago that celebrates Polish heritage with traditional cuisine, music, and entertainment.
E1654941 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: Taste of Polonia festival | Statement: [Jefferson Park, Chicago, hasEvent, Taste of Polonia festival]
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: Taste of Polonia festival
Triple: [Jefferson Park, Chicago, hasEvent, Taste of Polonia festival]
Generated description
Taste of Polonia festival is a major annual Polish cultural and food festival in Chicago that celebrates Polish heritage with traditional cuisine, music, and entertainment.

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_69e2fabdbe8c8190adbb9434b8636cad completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f410d73b288190995b2ada5788f436 completed May 1, 2026, 2:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a101c2148888190a27769b761ea2154 completed May 22, 2026, 9:04 a.m.
NEDg Description generation batch_6a1028676c7081909fc47b255611307a completed May 22, 2026, 9:56 a.m.
NED2 Entity disambiguation (via description) batch_6a102955a7548190b17a2240f080e5ca completed May 22, 2026, 10 a.m.
Created at: April 18, 2026, 4:44 a.m.