Triple

T9159875
Position Surface form Disambiguated ID Type / Status
Subject Maine State Route 122 E219792 entity
Predicate abbreviation P43 FINISHED
Object Route 122
Route 122 is a state highway in Maine that serves as a short connector route between the cities of Auburn and New Gloucester.
 E782848 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: Route 122 | Statement: [Maine State Route 122, abbreviation, Route 122]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Route 122
Context triple: [Maine State Route 122, abbreviation, Route 122]
  • A. Route 125
    Route 125 is a state highway in northeastern Massachusetts that runs through several communities north of Boston, serving as a key regional connector.
  • B. Route 126
    Route 126 is a state highway in Massachusetts that runs through several communities, including the city of Framingham.
  • C. Route 129
    Route 129 is a state highway in Massachusetts that runs east–west, connecting several communities north of Boston.
  • D. Route 12E
    Route 12E is a historic Lisbon tram line known for its short, scenic loop through the city’s old quarters in traditional yellow trams.
  • E. Route 18
    Route 18 is a major state highway in central New Jersey that serves as a key north–south corridor connecting communities such as New Brunswick and Sayreville.
  • 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: Route 122
Triple: [Maine State Route 122, abbreviation, Route 122]
Generated description
Route 122 is a state highway in Maine that serves as a short connector route between the cities of Auburn and New Gloucester.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Route 122
Target entity description: Route 122 is a state highway in Maine that serves as a short connector route between the cities of Auburn and New Gloucester.
  • A. Route 125
    Route 125 is a state highway in northeastern Massachusetts that runs through several communities north of Boston, serving as a key regional connector.
  • B. Route 126
    Route 126 is a state highway in Massachusetts that runs through several communities, including the city of Framingham.
  • C. Route 129
    Route 129 is a state highway in Massachusetts that runs east–west, connecting several communities north of Boston.
  • D. Route 12E
    Route 12E is a historic Lisbon tram line known for its short, scenic loop through the city’s old quarters in traditional yellow trams.
  • E. Route 18
    Route 18 is a major state highway in central New Jersey that serves as a key north–south corridor connecting communities such as New Brunswick and Sayreville.
  • 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_69ca83e3633c81908688a9fa2306ba99 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca9d953c081908d21f363801aaae4 completed April 1, 2026, 5:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05468843481908a1f17219a1bfc79 completed April 3, 2026, 11:59 p.m.
NEDg Description generation batch_69d0554fda40819083ef2d13d6fba905 completed April 4, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_69d055ca4fc08190b30e1b31ded51189 completed April 4, 2026, 12:05 a.m.
Created at: March 30, 2026, 7:21 p.m.