Triple

T15484536
Position Surface form Disambiguated ID Type / Status
Subject Virginia State Route 131 E377009 entity
Predicate abbreviation P43 FINISHED
Object SR 131
SR 131 is a short primary state highway in Virginia that serves as a connector route within the state's road network.
E1159174 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 131 | Statement: [Virginia State Route 131, abbreviation, SR 131]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SR 131
Context triple: [Virginia State Route 131, abbreviation, SR 131]
  • A. SR 131
    SR 131 is a state highway in Maine that runs through Knox and Waldo counties, connecting several coastal and inland communities.
  • B. SR 132
    SR 132 is a state highway in Maine that connects several small communities and links with other major regional routes.
  • C. SR 133
    SR 133 is a state highway in Maine that connects several central Maine communities and serves as a regional north–south transportation route.
  • D. SR 113
    SR 113 is a state highway in northern Ohio that runs east–west through several counties, connecting rural areas with small towns and cities.
  • E. SR 135
    SR 135 is a state highway in Maine that serves as a regional connector route between local communities.
  • 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 131
Triple: [Virginia State Route 131, abbreviation, SR 131]
Generated description
SR 131 is a short primary state highway in Virginia that serves as a connector route within the state's road network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SR 131
Target entity description: SR 131 is a short primary state highway in Virginia that serves as a connector route within the state's road network.
  • A. SR 131
    SR 131 is a state highway in Maine that runs through Knox and Waldo counties, connecting several coastal and inland communities.
  • B. SR 132
    SR 132 is a state highway in Maine that connects several small communities and links with other major regional routes.
  • C. SR 133
    SR 133 is a state highway in Maine that connects several central Maine communities and serves as a regional north–south transportation route.
  • D. SR 113
    SR 113 is a state highway in northern Ohio that runs east–west through several counties, connecting rural areas with small towns and cities.
  • E. SR 135
    SR 135 is a state highway in Maine that serves as a regional connector route between local communities.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8e6ff08190b130b3a38f4190e7 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d1170088190a911f8ea8d2a2066 completed May 9, 2026, 12:48 p.m.
NEDg Description generation batch_69ff2e1fb27c81908de0d755bf30c833 completed May 9, 2026, 12:52 p.m.
NED2 Entity disambiguation (via description) batch_69ff2f3ab6988190b4cefe2f55c4101c completed May 9, 2026, 12:57 p.m.
Created at: April 10, 2026, 3:45 a.m.