Triple

T35966294
Position Surface form Disambiguated ID Type / Status
Subject Creston, British Columbia E1040150 entity
Predicate hasEducationalInstitution P113 FINISHED
Object Prince Charles Secondary School
Prince Charles Secondary School is a public high school serving students in the town of Creston in southeastern British Columbia, Canada.
E2163061 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: Prince Charles Secondary School | Statement: [Creston, British Columbia, hasEducationalInstitution, Prince Charles Secondary School]
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: Prince Charles Secondary School
Triple: [Creston, British Columbia, hasEducationalInstitution, Prince Charles Secondary School]
Generated description
Prince Charles Secondary School is a public high school serving students in the town of Creston in southeastern British Columbia, Canada.

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_69f76e26b21081909fd9ffb3aff6c77a completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7abfcdb1c8190b4fabf807e31a1dc completed May 3, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38b70e46f08190a95a61bf009340fe completed June 22, 2026, 4:16 a.m.
NEDg Description generation batch_6a38b8b2330481909ea8346246fb8b33 completed June 22, 2026, 4:23 a.m.
NED2 Entity disambiguation (via description) batch_6a38b91577e08190bfbba137f102a8a6 completed June 22, 2026, 4:24 a.m.
Created at: May 3, 2026, 4:07 p.m.