Triple

T27652365
Position Surface form Disambiguated ID Type / Status
Subject The San Francisco Foundation E696895 entity
Predicate serves P98 FINISHED
Object San Francisco, California
San Francisco, California is a major coastal city in Northern California known for its iconic Golden Gate Bridge, steep hills, diverse culture, and role as a global center for technology and innovation.
E242 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: San Francisco, California | Statement: [The San Francisco Foundation, serves, San Francisco, California]
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: San Francisco, California
Triple: [The San Francisco Foundation, serves, San Francisco, California]
Generated description
San Francisco, California is a major coastal city in Northern California known for its iconic Golden Gate Bridge, steep hills, diverse culture, and role as a global center for technology and innovation.

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_69ef590abd3c8190834d0193bde12007 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f631d5d7b88190b7228b742a8848b4 completed May 2, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12f70b0a548190ad0c4856ed8f7291 completed May 24, 2026, 1:03 p.m.
NEDg Description generation batch_6a12f79fed1c81908af492a3fd35f82d completed May 24, 2026, 1:05 p.m.
NED2 Entity disambiguation (via description) batch_6a12fb9bdbe881909c9f79d153f151a3 completed May 24, 2026, 1:22 p.m.
Created at: April 27, 2026, 2:32 p.m.