Triple

T29704148
Position Surface form Disambiguated ID Type / Status
Subject Glocester, Rhode Island E751578 entity
Predicate contains P35 FINISHED
Object Chepachet, Rhode Island
Chepachet, Rhode Island is a historic village and census-designated place in the town of Glocester known for its 19th-century architecture and role in the Dorr Rebellion.
E1884379 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: Chepachet, Rhode Island | Statement: [Glocester, Rhode Island, contains, Chepachet, Rhode Island]
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: Chepachet, Rhode Island
Triple: [Glocester, Rhode Island, contains, Chepachet, Rhode Island]
Generated description
Chepachet, Rhode Island is a historic village and census-designated place in the town of Glocester known for its 19th-century architecture and role in the Dorr Rebellion.

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_69f0d6266f8481909e70bb41cda18587 completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f672b6ba408190a02e828fd1b62df7 completed May 2, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26c8dec10c8190bacf6a9cd7dfabc5 completed June 8, 2026, 1:51 p.m.
NEDg Description generation batch_6a26d42eb6648190a9e091bbc45a3afe completed June 8, 2026, 2:39 p.m.
NED2 Entity disambiguation (via description) batch_6a26d7f8f7ac8190ac1ac8c12794da06 completed June 8, 2026, 2:55 p.m.
Created at: April 28, 2026, 7:26 p.m.