Triple

T18665062
Position Surface form Disambiguated ID Type / Status
Subject Halifax urban road network E456303 entity
Predicate hasMajorArterial P107273 FINISHED
Object Barrington Street
Barrington Street is a primary thoroughfare in downtown Halifax, Nova Scotia, known for its historic streetscape, commercial activity, and role as a key north–south traffic corridor.
 E1783382 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: Barrington Street | Statement: [Halifax urban road network, hasMajorArterial, Barrington Street]
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: Barrington Street
Triple: [Halifax urban road network, hasMajorArterial, Barrington Street]
Generated description
Barrington Street is a primary thoroughfare in downtown Halifax, Nova Scotia, known for its historic streetscape, commercial activity, and role as a key north–south traffic corridor.

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_69d8d38f72b4819090a935175d9ca8af completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5508e02788190bdea6099f08db4f0 completed April 19, 2026, 10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12da59d238819092bc4602e5ed6d0d completed May 24, 2026, 11 a.m.
NEDg Description generation batch_6a12daf3e7948190bb82f9eac6800971 completed May 24, 2026, 11:03 a.m.
NED2 Entity disambiguation (via description) batch_6a12db74542081909ede3d27600fb26b completed May 24, 2026, 11:05 a.m.
Created at: April 10, 2026, 11:48 a.m.