Triple

T32589992
Position Surface form Disambiguated ID Type / Status
Subject Gulf Islands National Park Reserve E833037 entity
Predicate containsIsland P970 FINISHED
Object Reef Island
Reef Island is a small protected island within Canada's Gulf Islands National Park Reserve, known for its coastal ecosystems and marine wildlife habitat.
E2138747 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: Reef Island | Statement: [Gulf Islands National Park Reserve, containsIsland, Reef Island]
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: Reef Island
Triple: [Gulf Islands National Park Reserve, containsIsland, Reef Island]
Generated description
Reef Island is a small protected island within Canada's Gulf Islands National Park Reserve, known for its coastal ecosystems and marine wildlife habitat.

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_69f34929ff648190aded9424aa7564ae completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c67138e8819099aa4ded014143ba completed May 3, 2026, 3:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a382c94f0a081908331e56e55c0a300 completed June 21, 2026, 6:25 p.m.
NEDg Description generation batch_6a382d71fa54819095ef74046c139e7a completed June 21, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_6a382e1f37188190ac188d12cc6dce07 completed June 21, 2026, 6:31 p.m.
Created at: May 1, 2026, 1:05 a.m.