Triple

T25220817
Position Surface form Disambiguated ID Type / Status
Subject Barriere Lake Algonquin E631956 entity
Predicate basedAround P20207 FINISHED
Object Rapid Lake
Rapid Lake is a remote community in Quebec, Canada, that serves as the main settlement and administrative center for the Barriere Lake Algonquin (Algonquin of Barriere Lake) First Nation.
E2295855 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: Rapid Lake | Statement: [Barriere Lake Algonquin, basedAround, Rapid 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: Rapid Lake
Triple: [Barriere Lake Algonquin, basedAround, Rapid Lake]
Generated description
Rapid Lake is a remote community in Quebec, Canada, that serves as the main settlement and administrative center for the Barriere Lake Algonquin (Algonquin of Barriere Lake) First Nation.

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_69e75a8e0f688190a7aebe9a4815e25b completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f47cbe66648190a46a29d187ab2c47 completed May 1, 2026, 10:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a8203dac95c8190bb84e45311af90ed completed Aug. 16, 2026, 6:39 p.m.
NEDg Description generation batch_6a820436c1f081909b51b448fc32ab5e completed Aug. 16, 2026, 6:40 p.m.
NED2 Entity disambiguation (via description) batch_6a8204d455348190b75b49bd19e091bd completed Aug. 16, 2026, 6:43 p.m.
Created at: April 21, 2026, 1:03 p.m.