Triple

T30527198
Position Surface form Disambiguated ID Type / Status
Subject San Luis Obispo Creek E776882 entity
Predicate drainageBasin P1559 FINISHED
Object San Luis Obispo Valley
San Luis Obispo Valley is a coastal valley in California’s Central Coast region, encompassing the city of San Luis Obispo and surrounding agricultural and natural landscapes.
E1964021 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 Luis Obispo Valley | Statement: [San Luis Obispo Creek, drainageBasin, San Luis Obispo Valley]
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 Luis Obispo Valley
Triple: [San Luis Obispo Creek, drainageBasin, San Luis Obispo Valley]
Generated description
San Luis Obispo Valley is a coastal valley in California’s Central Coast region, encompassing the city of San Luis Obispo and surrounding agricultural and natural landscapes.

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_69f2249c11508190ae7e955755ccfb01 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6880f92d48190a6ac8547c34ef7d3 completed May 2, 2026, 11:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2b142fa74c819094e0c77272ce0e60 completed June 11, 2026, 8:01 p.m.
NEDg Description generation batch_6a2b14e482108190a30e55461ea4478f completed June 11, 2026, 8:04 p.m.
NED2 Entity disambiguation (via description) batch_6a2b15c455f88190b2e64d5e21982529 completed June 11, 2026, 8:08 p.m.
Created at: April 29, 2026, 8:17 p.m.