Triple

T17265487
Position Surface form Disambiguated ID Type / Status
Subject Pennsylvania Route 132 E419114 entity
Predicate alsoKnownAs P39 FINISHED
Object Route 132
Route 132 is a state highway in Pennsylvania that serves as a key east–west arterial road through suburban communities.
E1261808 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: [Pennsylvania Route 132, alsoKnownAs, Route 132]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Route 132
Context triple: [Pennsylvania Route 132, alsoKnownAs, Route 132]
  • A. 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.
  • B. Route 131
    Route 131 is a provincial highway in Quebec, Canada, that serves as a key north–south transportation corridor through the Lanaudière region.
  • C. Route 136
    Route 136 is a state highway in southwestern Connecticut that runs through coastal communities and connects several local and regional routes.
  • D. Route 136
    Route 136 is an urban highway in Montreal that serves as a key east–west connector through the city’s central road network.
  • E. Route 138
    Route 138 is a major provincial highway in Quebec that runs along the north shore of the Saint Lawrence River, connecting numerous communities including Sainte-Anne-de-Beaupré.
  • 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: [Pennsylvania Route 132, alsoKnownAs, Route 132]
Generated description
Route 132 is a state highway in Pennsylvania that serves as a key east–west arterial road through suburban communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Route 132
Target entity description: Route 132 is a state highway in Pennsylvania that serves as a key east–west arterial road through suburban communities.
  • A. 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.
  • B. Route 131
    Route 131 is a provincial highway in Quebec, Canada, that serves as a key north–south transportation corridor through the Lanaudière region.
  • C. Route 136
    Route 136 is a state highway in southwestern Connecticut that runs through coastal communities and connects several local and regional routes.
  • D. Route 136
    Route 136 is an urban highway in Montreal that serves as a key east–west connector through the city’s central road network.
  • E. Route 138
    Route 138 is a major provincial highway in Quebec that runs along the north shore of the Saint Lawrence River, connecting numerous communities including Sainte-Anne-de-Beaupré.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42f44ec7c81909a925fc8692b0a6c completed April 19, 2026, 1:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180ce69d08190aa254f219a572a92 completed May 11, 2026, 7:10 a.m.
NEDg Description generation batch_6a01850140388190949a5f613cef18c2 completed May 11, 2026, 7:28 a.m.
NED2 Entity disambiguation (via description) batch_6a018563d38c819093df94b96b69cfd5 completed May 11, 2026, 7:29 a.m.
Created at: April 10, 2026, 5:40 a.m.