Triple

T13081099
Position Surface form Disambiguated ID Type / Status
Subject Maine State Route 170 E310205 entity
Predicate abbreviation P43 FINISHED
Object SR 170
SR 170 is a state highway in Maine that serves as a regional connector route through rural parts of the state.
E1029950 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 170 | Statement: [Maine State Route 170, abbreviation, SR 170]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SR 170
Context triple: [Maine State Route 170, abbreviation, SR 170]
  • A. SR 170
    SR 170 is a state highway in Tennessee that serves as a regional connector route through parts of the Knoxville metropolitan area.
  • B. SR 17
    SR 17 is a heavily traveled and winding state highway in California that connects San Jose in Silicon Valley with the city of Santa Cruz across the Santa Cruz Mountains.
  • C. SR 117
    SR 117 is a state highway in Maine that runs through several counties, connecting multiple rural towns and regional routes.
  • D. SR 178
    SR 178 is a California state highway that runs east–west from Bakersfield through the Kern River Canyon and across the Mojave Desert toward Death Valley.
  • E. SR 167
    SR 167 is a state highway designation used for specific numbered routes within a U.S. state's transportation system.
  • 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 170
Triple: [Maine State Route 170, abbreviation, SR 170]
Generated description
SR 170 is a state highway in Maine that serves as a regional connector route through rural parts of the state.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SR 170
Target entity description: SR 170 is a state highway in Maine that serves as a regional connector route through rural parts of the state.
  • A. SR 170
    SR 170 is a state highway in Tennessee that serves as a regional connector route through parts of the Knoxville metropolitan area.
  • B. SR 17
    SR 17 is a heavily traveled and winding state highway in California that connects San Jose in Silicon Valley with the city of Santa Cruz across the Santa Cruz Mountains.
  • C. SR 117
    SR 117 is a state highway in Maine that runs through several counties, connecting multiple rural towns and regional routes.
  • D. SR 178
    SR 178 is a California state highway that runs east–west from Bakersfield through the Kern River Canyon and across the Mojave Desert toward Death Valley.
  • E. SR 167
    SR 167 is a state highway designation used for specific numbered routes within a U.S. state's transportation system.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d98119cb7081908b78ffe83ec99851 completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a227d2c81908da0089d0e0387c6 completed May 3, 2026, 8:41 a.m.
NEDg Description generation batch_69f70c000da081909297f3d24666b6a5 completed May 3, 2026, 8:49 a.m.
NED2 Entity disambiguation (via description) batch_69f70ce60a7081908f9498fcfec98e90 completed May 3, 2026, 8:52 a.m.
Created at: April 9, 2026, 9:01 p.m.