Triple

T11401987
Position Surface form Disambiguated ID Type / Status
Subject Virginia State Route 9 E270130 entity
Predicate abbreviation P43 FINISHED
Object SR 9
SR 9 is a primary state highway in Virginia that runs through the northern part of the state, connecting rural communities to the Washington, D.C. metropolitan area.
 E923762 NE FINISHED

How this triple was built (4 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: SR 9 | Statement: [Virginia State Route 9, abbreviation, SR 9]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SR 9
Context triple: [Virginia State Route 9, abbreviation, SR 9]
  • A. SR 92
    SR 92 is a major east–west state highway in California that includes the San Mateo–Hayward Bridge across San Francisco Bay, connecting the Peninsula with the East Bay.
  • B. SR 91
    SR 91 is a state highway designation used for specific numbered routes within a U.S. state's road network.
  • C. SR 119
    SR 119 is a state highway in Alabama that serves as a regional connector route through several suburban and rural communities.
  • D. SR 109
    SR 109 is a state highway in Maine that connects the coastal city of Wells with inland communities, serving as a regional route for local and through traffic.
  • E. SR 29
    SR 29 is a California state highway that runs through Napa Valley, serving as a major route to the region’s renowned wine country.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: SR 9
Triple: [Virginia State Route 9, abbreviation, SR 9]
Generated description
SR 9 is a primary state highway in Virginia that runs through the northern part of the state, connecting rural communities to the Washington, D.C. metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SR 9
Target entity description: SR 9 is a primary state highway in Virginia that runs through the northern part of the state, connecting rural communities to the Washington, D.C. metropolitan area.
  • A. SR 92
    SR 92 is a major east–west state highway in California that includes the San Mateo–Hayward Bridge across San Francisco Bay, connecting the Peninsula with the East Bay.
  • B. SR 91
    SR 91 is a state highway designation used for specific numbered routes within a U.S. state's road network.
  • C. SR 119
    SR 119 is a state highway in Alabama that serves as a regional connector route through several suburban and rural communities.
  • D. SR 109
    SR 109 is a state highway in Maine that connects the coastal city of Wells with inland communities, serving as a regional route for local and through traffic.
  • E. SR 29
    SR 29 is a California state highway that runs through Napa Valley, serving as a major route to the region’s renowned wine country.
  • F. None of above. chosen

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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d80148e2048190a716b515d78efdd1 completed April 9, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58d244870819091e8331eb3bd792d completed April 20, 2026, 2:19 a.m.
NEDg Description generation batch_69e59777b1208190a33a50da286535ee completed April 20, 2026, 3:03 a.m.
NED2 Entity disambiguation (via description) batch_69e5a3cf9d388190944340af484b3a54 completed April 20, 2026, 3:55 a.m.
Created at: April 8, 2026, 9:34 p.m.