Triple

T30063958
Position Surface form Disambiguated ID Type / Status
Subject Powell Street, San Francisco E763973 entity
Predicate intersects P1018 FINISHED
Object Washington Street, San Francisco
Washington Street, San Francisco is a major east–west thoroughfare running through several neighborhoods, including Chinatown and Nob Hill, and connecting key parts of the city’s downtown area.
E1933409 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: Washington Street, San Francisco | Statement: [Powell Street, San Francisco, intersects, Washington Street, San Francisco]
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: Washington Street, San Francisco
Triple: [Powell Street, San Francisco, intersects, Washington Street, San Francisco]
Generated description
Washington Street, San Francisco is a major east–west thoroughfare running through several neighborhoods, including Chinatown and Nob Hill, and connecting key parts of the city’s downtown area.

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_69f2247221388190a13a22c47094a0ef completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67ca5a1008190880f6da9f69c263b completed May 2, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28bbba18748190bd844c7910a9dfd0 completed June 10, 2026, 1:19 a.m.
NEDg Description generation batch_6a28bcce7b7c8190b7694f87ed55a5c8 completed June 10, 2026, 1:24 a.m.
NED2 Entity disambiguation (via description) batch_6a28bd9d23e48190bcd8bcf57d7d72e8 completed June 10, 2026, 1:27 a.m.
Created at: April 29, 2026, 6:58 p.m.