Triple

T29725728
Position Surface form Disambiguated ID Type / Status
Subject Georgia Street E752173 entity
Predicate alsoKnownAs P39 FINISHED
Object East Georgia Street
East Georgia Street is a major east–west thoroughfare in Vancouver, British Columbia, running through neighborhoods such as Chinatown and Strathcona.
 E2286044 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: East Georgia Street | Statement: [Georgia Street, alsoKnownAs, East Georgia Street]
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: East Georgia Street
Triple: [Georgia Street, alsoKnownAs, East Georgia Street]
Generated description
East Georgia Street is a major east–west thoroughfare in Vancouver, British Columbia, running through neighborhoods such as Chinatown and Strathcona.

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_69f0d628c00c8190ab5ee7e423d7ec3c completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f672ff16a08190b8840351bef56f55 completed May 2, 2026, 9:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4644959d6c8190b64e5fefce44a91e completed July 2, 2026, 10:59 a.m.
NEDg Description generation batch_6a46487f02108190915df96faf5b7cf3 completed July 2, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_6a4648da447881909c056bf07e8b8175 completed July 2, 2026, 11:17 a.m.
Created at: April 28, 2026, 7:39 p.m.