Triple

T11591380
Position Surface form Disambiguated ID Type / Status
Subject Connecticut Route 102 E274889 entity
Predicate abbreviation P43 FINISHED
Object Route 102
Route 102 is a state highway in Connecticut that serves as a short connector route within the state's road network.
 E937996 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 102 | Statement: [Connecticut Route 102, abbreviation, Route 102]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Route 102
Context triple: [Connecticut Route 102, abbreviation, Route 102]
  • A. Route 109
    Route 109 is a state highway in Massachusetts that runs east–west through several suburbs of Boston, serving as a key commuter and regional connector road.
  • B. Route 107
    Route 107 is a state highway in southwestern Connecticut that serves as a local connector through towns such as Redding and Georgetown.
  • C. Route 107
    Route 107 is a state highway in Massachusetts that runs through cities such as Revere and Lynn, serving as a key north–south arterial route north of Boston.
  • D. Route 10
    Route 10 is a SEPTA subway–surface trolley line in Philadelphia that provides light rail service between Center City and the city’s western neighborhoods.
  • E. Route 10
    Route 10 is a public transit route that provides bus service connecting the Olneyville neighborhood with other parts of its metropolitan area.
  • 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 102
Triple: [Connecticut Route 102, abbreviation, Route 102]
Generated description
Route 102 is a state highway in Connecticut that serves as a short connector route within the state's road network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Route 102
Target entity description: Route 102 is a state highway in Connecticut that serves as a short connector route within the state's road network.
  • A. Route 109
    Route 109 is a state highway in Massachusetts that runs east–west through several suburbs of Boston, serving as a key commuter and regional connector road.
  • B. Route 107
    Route 107 is a state highway in southwestern Connecticut that serves as a local connector through towns such as Redding and Georgetown.
  • C. Route 107
    Route 107 is a state highway in Massachusetts that runs through cities such as Revere and Lynn, serving as a key north–south arterial route north of Boston.
  • D. Route 10
    Route 10 is a SEPTA subway–surface trolley line in Philadelphia that provides light rail service between Center City and the city’s western neighborhoods.
  • E. Route 10
    Route 10 is a public transit route that provides bus service connecting the Olneyville neighborhood with other parts of its metropolitan area.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d894643ae48190837502b713f5b9c6 completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee86df14048190ae8f6d8b11610079 completed April 26, 2026, 9:42 p.m.
NEDg Description generation batch_69eeb310e04c8190a1004662d5bbc015 completed April 27, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69eee95dfff48190a3c3022cdfc6dafc completed April 27, 2026, 4:43 a.m.
Created at: April 8, 2026, 9:38 p.m.