Triple
T22080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern California |
E439
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Santa Rosa
Santa Rosa is a mid-sized city in Sonoma County known as a cultural and economic hub of California’s wine country.
|
E27583
|
NE FINISHED |
How this triple was built (4 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: Santa Rosa | Statement: [Northern California, hasMajorCity, Santa Rosa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santa Rosa Context triple: [Northern California, hasMajorCity, Santa Rosa]
-
A.
Modesto
Modesto is a mid-sized city in California’s Central Valley known for its agricultural economy, historic connection to the railroads, and as the hometown setting inspiration for George Lucas’s film "American Graffiti."
-
B.
Santa Clara
Santa Clara is a Silicon Valley city in California known for its high-tech industry presence, Levi’s Stadium, and Santa Clara University.
-
C.
Calistoga
Calistoga is a small resort town in California’s Napa Valley known for its wineries, hot springs, and relaxed, historic charm.
-
D.
Napa
Napa is a city in Northern California that serves as the commercial and cultural hub of the renowned Napa Valley wine region.
-
E.
Sonoma Valley
Sonoma Valley is a renowned wine-producing region in California celebrated for its vineyards, wineries, and scenic landscapes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Santa Rosa Triple: [Northern California, hasMajorCity, Santa Rosa]
Generated description
Santa Rosa is a mid-sized city in Sonoma County known as a cultural and economic hub of California’s wine country.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Santa Rosa Target entity description: Santa Rosa is a mid-sized city in Sonoma County known as a cultural and economic hub of California’s wine country.
-
A.
Modesto
Modesto is a mid-sized city in California’s Central Valley known for its agricultural economy, historic connection to the railroads, and as the hometown setting inspiration for George Lucas’s film "American Graffiti."
-
B.
Santa Clara
Santa Clara is a Silicon Valley city in California known for its high-tech industry presence, Levi’s Stadium, and Santa Clara University.
-
C.
Calistoga
Calistoga is a small resort town in California’s Napa Valley known for its wineries, hot springs, and relaxed, historic charm.
-
D.
Napa
Napa is a city in Northern California that serves as the commercial and cultural hub of the renowned Napa Valley wine region.
-
E.
Sonoma Valley
Sonoma Valley is a renowned wine-producing region in California celebrated for its vineyards, wineries, and scenic landscapes.
- F. None of above. chosen
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_69a243b4ac2c8190b93c303df797b7b2 |
completed | Feb. 28, 2026, 1:24 a.m. |
| NER | Named-entity recognition | batch_69a2466ab310819091842a0ea9fd25de |
completed | Feb. 28, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a33e3a315881909a2b717ef20e4b17 |
completed | Feb. 28, 2026, 7:12 p.m. |
| NEDg | Description generation | batch_69a33ee88af08190bfe81fba01856829 |
completed | Feb. 28, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a34295afa88190aae0d75a337967e3 |
completed | Feb. 28, 2026, 7:31 p.m. |
Created at: Feb. 28, 2026, 1:34 a.m.