Triple

T33100447
Position Surface form Disambiguated ID Type / Status
Subject Tennessee State Route 73 E847026 entity
Predicate hasRouteDesignation P5539 FINISHED
Object State Route 73
State Route 73 is a Tennessee state highway that serves as a key connector through the eastern part of the state, including access to the Great Smoky Mountains region.
 E2296381 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 73 | Statement: [Tennessee State Route 73, hasRouteDesignation, State Route 73]
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 73
Triple: [Tennessee State Route 73, hasRouteDesignation, State Route 73]
Generated description
State Route 73 is a Tennessee state highway that serves as a key connector through the eastern part of the state, including access to the Great Smoky Mountains region.

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_69f3495686508190b76bf20fa5e00bf7 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d6acf2a481909f90970921efe7ec completed May 3, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a826a3f68248190b297205d3783f5a5 completed Aug. 17, 2026, 1:56 a.m.
NEDg Description generation batch_6a826acf757881908e31fe46cece1351 completed Aug. 17, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_6a826b220c608190a299e5424ba8cff8 completed Aug. 17, 2026, 2 a.m.
Created at: May 1, 2026, 1:26 a.m.