Triple

T28597055
Position Surface form Disambiguated ID Type / Status
Subject Metrotown station E723802 entity
Predicate hasBusExchange P2423 FINISHED
Object Metrotown bus loop
Metrotown bus loop is a major transit exchange in Burnaby, British Columbia, serving numerous bus routes that connect to the adjacent Metrotown SkyTrain station and Metropolis at Metrotown shopping centre.
 E1825124 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: Metrotown bus loop | Statement: [Metrotown station, hasBusExchange, Metrotown bus loop]
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: Metrotown bus loop
Triple: [Metrotown station, hasBusExchange, Metrotown bus loop]
Generated description
Metrotown bus loop is a major transit exchange in Burnaby, British Columbia, serving numerous bus routes that connect to the adjacent Metrotown SkyTrain station and Metropolis at Metrotown shopping centre.

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_69f01d80b1908190980594837604b8c7 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f6ba73aa9c819082328ddf6ec799ec completed May 3, 2026, 3:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1cb6febd048190a22f045a56a47e51 completed May 31, 2026, 10:32 p.m.
NEDg Description generation batch_6a1cba6242d88190b72a23553705c221 completed May 31, 2026, 10:46 p.m.
NED2 Entity disambiguation (via description) batch_6a1cbae69fcc819089e092d9f9a0e0ba completed May 31, 2026, 10:49 p.m.
Created at: April 28, 2026, 4:22 a.m.