Triple

T11927677
Position Surface form Disambiguated ID Type / Status
Subject Connecticut Route 195 E283825 entity
Predicate connectsTo P845 FINISHED
Object Route 30
Route 30 is a state highway in Connecticut that serves as a regional connector through several towns in the north-central part of the state.
E961715 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 30 | Statement: [Connecticut Route 195, connectsTo, Route 30]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Route 30
Context triple: [Connecticut Route 195, connectsTo, Route 30]
  • A. Route 30
    Route 30 is a major east–west highway in Massachusetts that serves as a key commercial and commuter corridor through communities such as Framingham.
  • B. Route 32
    Route 32 is a state highway in New York that runs through several communities in the Hudson Valley and central parts of the state.
  • C. Route 32
    Route 32 is a state highway in Connecticut that runs generally north–south, serving as a key regional route through several towns and cities.
  • D. Route 36
    Route 36 is a primary roadway in Iceland that forms a key part of the popular Golden Circle tourist circuit, connecting major natural and cultural attractions.
  • E. Route 36
    Route 36 is a SEPTA subway–surface trolley line in Philadelphia that provides light rail service between Center City and Southwest Philadelphia.
  • 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 30
Triple: [Connecticut Route 195, connectsTo, Route 30]
Generated description
Route 30 is a state highway in Connecticut that serves as a regional connector through several towns in the north-central part of the state.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Route 30
Target entity description: Route 30 is a state highway in Connecticut that serves as a regional connector through several towns in the north-central part of the state.
  • A. Route 30
    Route 30 is a major east–west highway in Massachusetts that serves as a key commercial and commuter corridor through communities such as Framingham.
  • B. Route 32
    Route 32 is a state highway in New York that runs through several communities in the Hudson Valley and central parts of the state.
  • C. Route 32
    Route 32 is a state highway in Connecticut that runs generally north–south, serving as a key regional route through several towns and cities.
  • D. Route 36
    Route 36 is a primary roadway in Iceland that forms a key part of the popular Golden Circle tourist circuit, connecting major natural and cultural attractions.
  • E. Route 36
    Route 36 is a SEPTA subway–surface trolley line in Philadelphia that provides light rail service between Center City and Southwest Philadelphia.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903024afc8190a97aa3263dc7d017 completed April 10, 2026, 2:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49ce47d488190af7f832e7719a4ce completed May 1, 2026, 12:30 p.m.
NEDg Description generation batch_69f53d8ec5448190b303624887f7fa05 completed May 1, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_69f564d2b4348190abf2d09ae00aea37 completed May 2, 2026, 2:43 a.m.
Created at: April 8, 2026, 9:45 p.m.