Triple
T1122241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dry Creek Valley AVA |
E24636
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Healdsburg, California
Healdsburg, California is a small city in Sonoma County known for its charming downtown plaza and its central role in Northern California wine country.
|
E127719
|
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: Healdsburg, California | Statement: [Dry Creek Valley AVA, near, Healdsburg, California]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Healdsburg, California Context triple: [Dry Creek Valley AVA, near, Healdsburg, California]
-
A.
Sonoma Valley
Sonoma Valley is a renowned wine-producing region in California celebrated for its vineyards, wineries, and scenic landscapes.
-
B.
Glen Ellen
Glen Ellen is a small, historic wine-country village in California known for its vineyards, scenic landscapes, and association with writer Jack London.
-
C.
Santa Rosa
Santa Rosa is a mid-sized city in Sonoma County known as a cultural and economic hub of California’s wine country.
-
D.
Calistoga
Calistoga is a small resort town in California’s Napa Valley known for its wineries, hot springs, and relaxed, historic charm.
-
E.
Napa
Napa is a city in Northern California that serves as the commercial and cultural hub of the renowned Napa Valley wine region.
- 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: Healdsburg, California Triple: [Dry Creek Valley AVA, near, Healdsburg, California]
Generated description
Healdsburg, California is a small city in Sonoma County known for its charming downtown plaza and its central role in Northern California wine country.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Healdsburg, California Target entity description: Healdsburg, California is a small city in Sonoma County known for its charming downtown plaza and its central role in Northern California wine country.
-
A.
Sonoma Valley
Sonoma Valley is a renowned wine-producing region in California celebrated for its vineyards, wineries, and scenic landscapes.
-
B.
Glen Ellen
Glen Ellen is a small, historic wine-country village in California known for its vineyards, scenic landscapes, and association with writer Jack London.
-
C.
Santa Rosa
Santa Rosa is a mid-sized city in Sonoma County known as a cultural and economic hub of California’s wine country.
-
D.
Calistoga
Calistoga is a small resort town in California’s Napa Valley known for its wineries, hot springs, and relaxed, historic charm.
-
E.
Napa
Napa is a city in Northern California that serves as the commercial and cultural hub of the renowned Napa Valley wine region.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bbbf71188190b82c8fff9d5ac01a |
completed | March 1, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac539d51848190a9eb9ddaa7e4c6a8 |
completed | March 7, 2026, 4:34 p.m. |
| NEDg | Description generation | batch_69ac54426e3c8190af166a54af44e210 |
completed | March 7, 2026, 4:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac54bb7b148190ba1c8ab2202cf429 |
completed | March 7, 2026, 4:39 p.m. |
Created at: March 1, 2026, 7:44 p.m.