Triple

T38547658
Position Surface form Disambiguated ID Type / Status
Subject Green Hill, Rhode Island E925013 entity
Predicate hasPart P35 FINISHED
Object Green Hill Beach
Green Hill Beach is a coastal public beach in the Green Hill area of South Kingstown, Rhode Island, known for its sandy shoreline and views of Block Island Sound.
E2275456 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: Green Hill Beach | Statement: [Green Hill, Rhode Island, hasPart, Green Hill Beach]
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: Green Hill Beach
Triple: [Green Hill, Rhode Island, hasPart, Green Hill Beach]
Generated description
Green Hill Beach is a coastal public beach in the Green Hill area of South Kingstown, Rhode Island, known for its sandy shoreline and views of Block Island Sound.

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_69f76eadeac081909cdfdd0474cb6765 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcd313e61c8190b174b331365b803f completed May 7, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41e039cfd081908fa7d096c6ee34c9 completed June 29, 2026, 3:02 a.m.
NEDg Description generation batch_6a41e403640c8190b85c503892134d90 completed June 29, 2026, 3:18 a.m.
NED2 Entity disambiguation (via description) batch_6a41e45903588190b60aeebcbe85fcac completed June 29, 2026, 3:19 a.m.
Created at: May 3, 2026, 4:32 p.m.