Triple

T13955928
Position Surface form Disambiguated ID Type / Status
Subject Maine State Route 183 E335659 entity
Predicate abbreviation P43 FINISHED
Object SR 183
SR 183 is a state highway in Maine that serves as a local connector route within the state's road network.
E1074099 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 183 | Statement: [Maine State Route 183, abbreviation, SR 183]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SR 183
Context triple: [Maine State Route 183, abbreviation, SR 183]
  • A. SR 181
    SR 181 is a state highway in Maine that serves as a regional connector route through Hancock County.
  • B. SR 163
    SR 163 is a major north–south freeway in San Diego, California, connecting downtown with the inland freeway network and passing through Balboa Park.
  • C. SR 182
    SR 182 is a state highway designated as State Route 182 within a U.S. state’s numbered road network.
  • 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 180
    SR 180 is a state highway designation used for specific numbered routes within a U.S. state's road network.
  • 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 183
Triple: [Maine State Route 183, abbreviation, SR 183]
Generated description
SR 183 is a state highway in Maine that serves as a local connector route within the state's road network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SR 183
Target entity description: SR 183 is a state highway in Maine that serves as a local connector route within the state's road network.
  • A. SR 181
    SR 181 is a state highway in Maine that serves as a regional connector route through Hancock County.
  • B. SR 163
    SR 163 is a major north–south freeway in San Diego, California, connecting downtown with the inland freeway network and passing through Balboa Park.
  • C. SR 182
    SR 182 is a state highway designated as State Route 182 within a U.S. state’s numbered road network.
  • 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 180
    SR 180 is a state highway designation used for specific numbered routes within a U.S. state's road network.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e78a4a481908e438745631a43c0 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac8c06ec8190a6dfceab55da5b30 completed May 6, 2026, 9:03 p.m.
NEDg Description generation batch_69fbafe60f1c8190bf9f98f83bdf05db completed May 6, 2026, 9:17 p.m.
NED2 Entity disambiguation (via description) batch_69fbb04881f481909800f0183b30c370 completed May 6, 2026, 9:19 p.m.
Created at: April 9, 2026, 10:17 p.m.