Triple

T30140318
Position Surface form Disambiguated ID Type / Status
Subject King Street Station vicinity E766108 entity
Predicate hasNearbyStreet P8235 FINISHED
Object South Jackson Street
South Jackson Street is a major east–west thoroughfare in Seattle’s historic Pioneer Square and Chinatown–International District, connecting key transit hubs and neighborhood centers.
 E1904703 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: South Jackson Street | Statement: [King Street Station vicinity, hasNearbyStreet, South Jackson 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: South Jackson Street
Triple: [King Street Station vicinity, hasNearbyStreet, South Jackson Street]
Generated description
South Jackson Street is a major east–west thoroughfare in Seattle’s historic Pioneer Square and Chinatown–International District, connecting key transit hubs and neighborhood centers.

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_69f2247909048190ae86c2160cf8b566 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67e8785f8819090c5162945b8acc6 completed May 2, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27642e1ae88190a92ddee08434159b completed June 9, 2026, 12:54 a.m.
NEDg Description generation batch_6a27649d94948190bbe7bb2430cadb2b completed June 9, 2026, 12:55 a.m.
NED2 Entity disambiguation (via description) batch_6a276509c8888190906a401e5e47bac5 completed June 9, 2026, 12:57 a.m.
Created at: April 29, 2026, 7:17 p.m.