Triple

T2053097
Position Surface form Disambiguated ID Type / Status
Subject Cape Cod Mall E45612 entity
Predicate near P350 FINISHED
Object Route 132
Route 132 is a major commercial roadway in Hyannis, Massachusetts, serving as a key access route to shopping centers and businesses on Cape Cod.
 E230010 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 132 | Statement: [Cape Cod Mall, near, Route 132]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Route 132
Context triple: [Cape Cod Mall, near, Route 132]
  • A. Route 13
    Route 13 is a SEPTA subway–surface trolley line in Philadelphia that provides light rail service between Center City and neighborhoods to the southwest.
  • B. 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.
  • C. Route 126
    Route 126 is a state highway in Massachusetts that runs through several communities, including the city of Framingham.
  • D. Route 146
    Route 146 is a major north–south highway in Massachusetts and Rhode Island that connects the Worcester area to the Providence metropolitan region.
  • E. Route 129
    Route 129 is a state highway in Massachusetts that runs east–west, connecting several communities north of Boston.
  • 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 132
Triple: [Cape Cod Mall, near, Route 132]
Generated description
Route 132 is a major commercial roadway in Hyannis, Massachusetts, serving as a key access route to shopping centers and businesses on Cape Cod.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Route 132
Target entity description: Route 132 is a major commercial roadway in Hyannis, Massachusetts, serving as a key access route to shopping centers and businesses on Cape Cod.
  • A. Route 13
    Route 13 is a SEPTA subway–surface trolley line in Philadelphia that provides light rail service between Center City and neighborhoods to the southwest.
  • B. 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.
  • C. Route 126
    Route 126 is a state highway in Massachusetts that runs through several communities, including the city of Framingham.
  • D. Route 146
    Route 146 is a major north–south highway in Massachusetts and Rhode Island that connects the Worcester area to the Providence metropolitan region.
  • E. Route 129
    Route 129 is a state highway in Massachusetts that runs east–west, connecting several communities north of Boston.
  • 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_69a8891a19508190a12ef1e192308dcb completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb99196ec819096f491ac7732156a completed March 7, 2026, 5:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae200c10848190b557332d39f1854d completed March 9, 2026, 1:19 a.m.
NEDg Description generation batch_69ae20a6ce14819098007416d6377f2e completed March 9, 2026, 1:21 a.m.
NED2 Entity disambiguation (via description) batch_69ae2130ba448190b91f590a348ebf88 completed March 9, 2026, 1:24 a.m.
Created at: March 4, 2026, 7:39 p.m.