Triple

T28504416
Position Surface form Disambiguated ID Type / Status
Subject Parkville (Hartford) E721331 entity
Predicate hasCulturalInstitution P105 FINISHED
Object Real Art Ways arts center
Real Art Ways arts center is a contemporary arts venue in Hartford known for its innovative exhibitions, independent film screenings, and community-focused cultural programming.
E1822176 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: Real Art Ways arts center | Statement: [Parkville (Hartford), hasCulturalInstitution, Real Art Ways arts center]
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: Real Art Ways arts center
Triple: [Parkville (Hartford), hasCulturalInstitution, Real Art Ways arts center]
Generated description
Real Art Ways arts center is a contemporary arts venue in Hartford known for its innovative exhibitions, independent film screenings, and community-focused cultural programming.

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_69f01a5c072081908c7b04bcf6478da9 completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69f64f703e508190bae2e5135638870a completed May 2, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1cac4c6b6481909a6ca5520ca27095 completed May 31, 2026, 9:46 p.m.
NEDg Description generation batch_6a1cacd14e048190b6a26e9b5750dff8 completed May 31, 2026, 9:49 p.m.
NED2 Entity disambiguation (via description) batch_6a1cadd09b908190afc24c7665a804c4 completed May 31, 2026, 9:53 p.m.
Created at: April 28, 2026, 3:08 a.m.