Triple

T26433368
Position Surface form Disambiguated ID Type / Status
Subject Banks County, Georgia E664570 entity
Predicate majorHighway P385 FINISHED
Object State Route 59
State Route 59 is a primary state highway in Georgia that serves as an important transportation corridor through Banks County and surrounding areas.
 E2292670 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 59 | Statement: [Banks County, Georgia, majorHighway, State Route 59]
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 59
Triple: [Banks County, Georgia, majorHighway, State Route 59]
Generated description
State Route 59 is a primary state highway in Georgia that serves as an important transportation corridor through Banks 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_69ee883ad6a4819088f918e76122d690 completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f6120f7a6c819084fadc26e1aec58d completed May 2, 2026, 3:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a79c5a481748190aafeb49014c4acdb completed Aug. 10, 2026, 12:35 p.m.
NEDg Description generation batch_6a79c5f2d0b48190894ff24d546126fc completed Aug. 10, 2026, 12:37 p.m.
NED2 Entity disambiguation (via description) batch_6a79c64b41108190aec8f0737fccaf78 completed Aug. 10, 2026, 12:38 p.m.
Created at: April 26, 2026, 11:51 p.m.