Triple

T18665051
Position Surface form Disambiguated ID Type / Status
Subject Halifax urban road network E456303 entity
Predicate connectsTo P845 FINISHED
Object Highway 118
Highway 118 is a major Nova Scotia highway that links the Dartmouth area of Halifax to Highway 102 and serves as a key commuter and access route to the Halifax Regional Municipality.
E2288686 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: Highway 118 | Statement: [Halifax urban road network, connectsTo, Highway 118]
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: Highway 118
Triple: [Halifax urban road network, connectsTo, Highway 118]
Generated description
Highway 118 is a major Nova Scotia highway that links the Dartmouth area of Halifax to Highway 102 and serves as a key commuter and access route to the Halifax Regional Municipality.

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_6a5acf194508819091f4995b1ae7a1e5 completed July 18, 2026, 12:55 a.m.
NEDg Description generation batch_6a5ad1cd80248190af2b00f6bb01b617 completed July 18, 2026, 1:07 a.m.
NED2 Entity disambiguation (via description) batch_6a5ad3a51f348190a07468a34fbb9074 completed July 18, 2026, 1:15 a.m.
Created at: April 10, 2026, 11:48 a.m.