Triple

T26609207
Position Surface form Disambiguated ID Type / Status
Subject Jackson County, Georgia E667863 entity
Predicate hasHighway P385 FINISHED
Object State Route 82
State Route 82 is a state highway in Georgia that serves as a regional connector route through Jackson County and surrounding areas.
 E2292891 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: State Route 82 | Statement: [Jackson County, Georgia, hasHighway, State Route 82]
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: State Route 82
Triple: [Jackson County, Georgia, hasHighway, State Route 82]
Generated description
State Route 82 is a state highway in Georgia that serves as a regional connector route through Jackson County and surrounding areas.

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_69ee9cfd20348190bb1255d2603efb7a completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69f61576b3f48190bc87dcdf685b4532 completed May 2, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7a3ac01dc081908131371ed6b82952 completed Aug. 10, 2026, 8:55 p.m.
NEDg Description generation batch_6a7a3b8a1be881908052fc0498ec304d completed Aug. 10, 2026, 8:58 p.m.
NED2 Entity disambiguation (via description) batch_6a7a3bf190dc81909b81fc393c7fc456 completed Aug. 10, 2026, 9 p.m.
Created at: April 27, 2026, 2:16 a.m.