Triple

T27117161
Position Surface form Disambiguated ID Type / Status
Subject Silver Springs State Park E686881 entity
Predicate formerName P65 FINISHED
Object Silver River State Park
Silver River State Park, now known as Silver Springs State Park, is a Florida state park renowned for its clear artesian springs, glass-bottom boat tours, and diverse natural habitats.
E1905469 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: Silver River State Park | Statement: [Silver Springs State Park, formerName, Silver River State Park]
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: Silver River State Park
Triple: [Silver Springs State Park, formerName, Silver River State Park]
Generated description
Silver River State Park, now known as Silver Springs State Park, is a Florida state park renowned for its clear artesian springs, glass-bottom boat tours, and diverse natural habitats.

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_69ef148c2b588190afc15b529f7af845 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f62440351081908f74fef3c86d282a completed May 2, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2764155a508190840fdf587bf36c4b completed June 9, 2026, 12:53 a.m.
NEDg Description generation batch_6a27652b29448190b6e9e9891ab878d3 completed June 9, 2026, 12:58 a.m.
NED2 Entity disambiguation (via description) batch_6a27661767f081909e0291186c5d6778 completed June 9, 2026, 1:02 a.m.
Created at: April 27, 2026, 8:57 a.m.