Triple

T26711537
Position Surface form Disambiguated ID Type / Status
Subject Reisterstown, Maryland E673424 entity
Predicate religiousInstitution P45 FINISHED
Object Reisterstown United Methodist Church
Reisterstown United Methodist Church is a Christian congregation and worship center serving the community of Reisterstown, Maryland.
E1739465 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: Reisterstown United Methodist Church | Statement: [Reisterstown, Maryland, religiousInstitution, Reisterstown United Methodist Church]
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: Reisterstown United Methodist Church
Triple: [Reisterstown, Maryland, religiousInstitution, Reisterstown United Methodist Church]
Generated description
Reisterstown United Methodist Church is a Christian congregation and worship center serving the community of Reisterstown, Maryland.

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_69eecda3a22881908f3061c760b9d542 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f617bf61dc8190916187025854e15c completed May 2, 2026, 3:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11fe8cab048190b6fe67a1c1200de6 completed May 23, 2026, 7:22 p.m.
NEDg Description generation batch_6a11ff67376c8190a8a6c9fbd5e299d1 completed May 23, 2026, 7:26 p.m.
NED2 Entity disambiguation (via description) batch_6a12001b625881908fc58ccbcbf38b78 completed May 23, 2026, 7:29 p.m.
Created at: April 27, 2026, 3:35 a.m.