Triple

T27222887
Position Surface form Disambiguated ID Type / Status
Subject Interstate 279 in Pennsylvania E681327 entity
Predicate usesBridge P386 FINISHED
Object North Shore Expressway viaducts
The North Shore Expressway viaducts are elevated highway structures in Pittsburgh that carry traffic across the Allegheny River’s North Shore area as part of the city’s interstate network.
E1759387 NE FINISHED

How this triple was built (2 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: North Shore Expressway viaducts | Statement: [Interstate 279 in Pennsylvania, usesBridge, North Shore Expressway viaducts]
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: North Shore Expressway viaducts
Triple: [Interstate 279 in Pennsylvania, usesBridge, North Shore Expressway viaducts]
Generated description
The North Shore Expressway viaducts are elevated highway structures in Pittsburgh that carry traffic across the Allegheny River’s North Shore area as part of the city’s interstate network.

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_69eefac9f64c8190a07490fe0c8b72a3 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f6264866248190af21260780020fac completed May 2, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1253ae817c819082f128a85b3f0cbe completed May 24, 2026, 1:26 a.m.
NEDg Description generation batch_6a1254e8f94881908407699a6fb433b9 completed May 24, 2026, 1:31 a.m.
NED2 Entity disambiguation (via description) batch_6a125570e034819080d1b31fe17df8ba completed May 24, 2026, 1:33 a.m.
Created at: April 27, 2026, 9:43 a.m.