Triple

T29370091
Position Surface form Disambiguated ID Type / Status
Subject Cassidy, British Columbia E744829 entity
Predicate hasNearbyRailway P25143 FINISHED
Object Esquimalt and Nanaimo Railway
The Esquimalt and Nanaimo Railway is a historic railway line on Vancouver Island, British Columbia, that played a key role in the region’s development and transportation.
E1864556 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: Esquimalt and Nanaimo Railway | Statement: [Cassidy, British Columbia, hasNearbyRailway, Esquimalt and Nanaimo Railway]
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: Esquimalt and Nanaimo Railway
Triple: [Cassidy, British Columbia, hasNearbyRailway, Esquimalt and Nanaimo Railway]
Generated description
The Esquimalt and Nanaimo Railway is a historic railway line on Vancouver Island, British Columbia, that played a key role in the region’s development and transportation.

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_69f0a79ba954819094597628112c6091 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f669a96e3c819093414c2132b4d1ed completed May 2, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25c1022770819098cda3c8420440a0 completed June 7, 2026, 7:05 p.m.
NEDg Description generation batch_6a25c545c54081909763d007a604877e completed June 7, 2026, 7:23 p.m.
NED2 Entity disambiguation (via description) batch_6a25c98658cc8190a3776dc98bf9bd8c completed June 7, 2026, 7:41 p.m.
Created at: April 28, 2026, 2:26 p.m.