Triple

T37350520
Position Surface form Disambiguated ID Type / Status
Subject QNS&L E927308 entity
Predicate regionServed P82 FINISHED
Object Quebec North Shore
Quebec North Shore is a sparsely populated coastal region of eastern Quebec, Canada, stretching along the north shore of the Saint Lawrence River and Gulf, known for its rugged landscapes, remote communities, and resource-based industries.
 E2223344 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: Quebec North Shore | Statement: [QNS&L, regionServed, Quebec North Shore]
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: Quebec North Shore
Triple: [QNS&L, regionServed, Quebec North Shore]
Generated description
Quebec North Shore is a sparsely populated coastal region of eastern Quebec, Canada, stretching along the north shore of the Saint Lawrence River and Gulf, known for its rugged landscapes, remote communities, and resource-based industries.

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_69f76eb5e034819088e53ab5b7909a68 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb5bc062e8819098f3b5486eb754d1 completed May 6, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a406cdeec0481908449b31e56c88df8 completed June 28, 2026, 12:37 a.m.
NEDg Description generation batch_6a406da07e6c81909bcf8a7cce086fcf completed June 28, 2026, 12:41 a.m.
NED2 Entity disambiguation (via description) batch_6a406e2e5e00819097b90719f08951c8 completed June 28, 2026, 12:43 a.m.
Created at: May 3, 2026, 4:16 p.m.