Triple

T24803060
Position Surface form Disambiguated ID Type / Status
Subject Town of Dedham government E620580 entity
Predicate hasBody P35 FINISHED
Object Dedham Board of Health
The Dedham Board of Health is the municipal body responsible for protecting and promoting public health, enforcing health regulations, and overseeing environmental and community health services in the town of Dedham.
E1661326 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: Dedham Board of Health | Statement: [Town of Dedham government, hasBody, Dedham Board of Health]
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: Dedham Board of Health
Triple: [Town of Dedham government, hasBody, Dedham Board of Health]
Generated description
The Dedham Board of Health is the municipal body responsible for protecting and promoting public health, enforcing health regulations, and overseeing environmental and community health services in the town of Dedham.

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_69e2fabf26bc8190b191faac8f67065b completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f412ab84288190b9c43aafc773c5bc completed May 1, 2026, 2:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a104886d1148190839ca5338971fecc completed May 22, 2026, 12:13 p.m.
NEDg Description generation batch_6a10498ee91081909f400a590f3646a7 completed May 22, 2026, 12:18 p.m.
NED2 Entity disambiguation (via description) batch_6a104a868810819098fc6286e7599ea0 completed May 22, 2026, 12:22 p.m.
Created at: April 18, 2026, 4:49 a.m.