Triple

T31010274
Position Surface form Disambiguated ID Type / Status
Subject Florida State Road 13 E790190 entity
Predicate servesCommunity P82 FINISHED
Object Switzerland, Florida
Switzerland, Florida is an unincorporated riverside community in St. Johns County known for its residential neighborhoods along the St. Johns River and proximity to the Jacksonville metropolitan area.
E1942015 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: Switzerland, Florida | Statement: [Florida State Road 13, servesCommunity, Switzerland, Florida]
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: Switzerland, Florida
Triple: [Florida State Road 13, servesCommunity, Switzerland, Florida]
Generated description
Switzerland, Florida is an unincorporated riverside community in St. Johns County known for its residential neighborhoods along the St. Johns River and proximity to the Jacksonville metropolitan area.

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_69f224c73ca48190a1e46cb58ad4045b completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69447db808190bd985ad96f09dd60 completed May 3, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a29183c165081909ebc5af53fb3d8ee completed June 10, 2026, 7:54 a.m.
NEDg Description generation batch_6a29190c5f6c8190881d5c2b5ebbd64c completed June 10, 2026, 7:58 a.m.
NED2 Entity disambiguation (via description) batch_6a29199ab674819099331e028cf6d811 completed June 10, 2026, 8 a.m.
Created at: April 29, 2026, 8:57 p.m.