Triple

T28713021
Position Surface form Disambiguated ID Type / Status
Subject North Delta E729874 entity
Predicate representedInFederalRiding P31703 FINISHED
Object Delta (federal electoral district)
Delta is a federal electoral district in British Columbia, Canada, that elects a Member of Parliament to the House of Commons.
E1829847 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: Delta (federal electoral district) | Statement: [North Delta, representedInFederalRiding, Delta (federal electoral district)]
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: Delta (federal electoral district)
Triple: [North Delta, representedInFederalRiding, Delta (federal electoral district)]
Generated description
Delta is a federal electoral district in British Columbia, Canada, that elects a Member of Parliament to the House of Commons.

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_69f043e7d5a4819094b18aca10b1e024 completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f656d92c088190918720a02e2d923c completed May 2, 2026, 7:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1ccf5666d48190a5a54288bdbea1d2 completed June 1, 2026, 12:16 a.m.
NEDg Description generation batch_6a1cd021944881908cae19ba344f1184 completed June 1, 2026, 12:19 a.m.
NED2 Entity disambiguation (via description) batch_6a24945efab88190a4ccb8a92331e469 completed June 6, 2026, 9:42 p.m.
Created at: April 28, 2026, 5:49 a.m.