Triple

T28934421
Position Surface form Disambiguated ID Type / Status
Subject Forbidden Plateau E733873 entity
Predicate waterFeature P20923 FINISHED
Object Battleship Lake
Battleship Lake is a small alpine lake located on Forbidden Plateau in Strathcona Provincial Park on Vancouver Island, British Columbia, popular for hiking and scenic mountain views.
E1857387 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: Battleship Lake | Statement: [Forbidden Plateau, waterFeature, Battleship Lake]
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: Battleship Lake
Triple: [Forbidden Plateau, waterFeature, Battleship Lake]
Generated description
Battleship Lake is a small alpine lake located on Forbidden Plateau in Strathcona Provincial Park on Vancouver Island, British Columbia, popular for hiking and scenic mountain views.

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_69f05b0b49b08190b8994b339c7980f6 completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f65b5521e88190bd1881a3feff5170 completed May 2, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25699b60f48190ae9f078545d8ebef completed June 7, 2026, 12:52 p.m.
NEDg Description generation batch_6a256e06900c81909d7a088c56159bd2 completed June 7, 2026, 1:11 p.m.
NED2 Entity disambiguation (via description) batch_6a25791ab7f08190ae6dd113adf806f1 completed June 7, 2026, 1:58 p.m.
Created at: April 28, 2026, 8:31 a.m.