Triple

T37448107
Position Surface form Disambiguated ID Type / Status
Subject Riverside Cemetery, Barre, Massachusetts, United States E930602 entity
Predicate partOf P40 FINISHED
Object Barre municipal cemeteries
Barre municipal cemeteries is the collective system of public burial grounds serving the town of Barre, Massachusetts.
E2227740 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: Barre municipal cemeteries | Statement: [Riverside Cemetery, Barre, Massachusetts, United States, partOf, Barre municipal cemeteries]
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: Barre municipal cemeteries
Triple: [Riverside Cemetery, Barre, Massachusetts, United States, partOf, Barre municipal cemeteries]
Generated description
Barre municipal cemeteries is the collective system of public burial grounds serving the town of Barre, Massachusetts.

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_69f76ec0b9488190b7a4fae632bd1d2f completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb8e04d8a0819090297825f692054b completed May 6, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40825f77ac8190b6e38fc8216a406e completed June 28, 2026, 2:09 a.m.
NEDg Description generation batch_6a4084b430608190a8fd3d0245a555f4 completed June 28, 2026, 2:19 a.m.
NED2 Entity disambiguation (via description) batch_6a408547e22881908c4f836d466222ab completed June 28, 2026, 2:22 a.m.
Created at: May 3, 2026, 4:17 p.m.