Triple

T23959415
Position Surface form Disambiguated ID Type / Status
Subject Cariboo region E603882 entity
Predicate traversedBy P225 FINISHED
Object Cariboo Wagon Road
The Cariboo Wagon Road was a historic 19th-century route in British Columbia built to support the Cariboo Gold Rush by linking coastal ports to the interior goldfields.
E1611338 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: Cariboo Wagon Road | Statement: [Cariboo region, traversedBy, Cariboo Wagon Road]
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: Cariboo Wagon Road
Triple: [Cariboo region, traversedBy, Cariboo Wagon Road]
Generated description
The Cariboo Wagon Road was a historic 19th-century route in British Columbia built to support the Cariboo Gold Rush by linking coastal ports to the interior goldfields.

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_69e2954222288190a7323554d0cca8d7 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f1d0d91cd481908f53ce7ee569c0f9 completed April 29, 2026, 9:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f7e7554fc8190b7421e6f39777d96 completed May 21, 2026, 9:51 p.m.
NEDg Description generation batch_6a0f7f21e3608190b646947083391923 completed May 21, 2026, 9:54 p.m.
NED2 Entity disambiguation (via description) batch_6a0f7fcc13c4819080a2590a2b964f9c completed May 21, 2026, 9:57 p.m.
Created at: April 17, 2026, 9:22 p.m.