Triple

T35735875
Position Surface form Disambiguated ID Type / Status
Subject U.S. Route 301 in Virginia E1032884 entity
Predicate overlapsWith P1867 FINISHED
Object Virginia State Route 35
Virginia State Route 35 is a primary state highway in southeastern Virginia that connects rural communities between the North Carolina state line and the Petersburg area.
 E2154312 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: Virginia State Route 35 | Statement: [U.S. Route 301 in Virginia, overlapsWith, Virginia State Route 35]
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: Virginia State Route 35
Triple: [U.S. Route 301 in Virginia, overlapsWith, Virginia State Route 35]
Generated description
Virginia State Route 35 is a primary state highway in southeastern Virginia that connects rural communities between the North Carolina state line and the Petersburg 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_69f76e10e59081908d81ad9ce22f40b6 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a165efc88190a02f499fc928fcf1 completed May 3, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3885ee879481909186fd9eae3d8605 completed June 22, 2026, 12:46 a.m.
NEDg Description generation batch_6a3886c807fc81908b54dc825e1770a6 completed June 22, 2026, 12:50 a.m.
NED2 Entity disambiguation (via description) batch_6a388786698c8190a77c02a874d0d790 completed June 22, 2026, 12:53 a.m.
Created at: May 3, 2026, 4:05 p.m.