Triple
T1374689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sacramento Valley |
E30192
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | City of Woodland |
E115395
|
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: City of Woodland | Statement: [Sacramento Valley, contains, City of Woodland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Woodland Context triple: [Sacramento Valley, contains, City of Woodland]
-
A.
City of Woodland
chosen
The City of Woodland is a small agricultural and residential city in California’s Sacramento Valley that serves as the county seat and commercial hub of Yolo County.
-
B.
Springwood
Springwood is a major town in the Lower Blue Mountains region of New South Wales, Australia, known as a residential and commercial hub amid bushland and scenic surroundings.
-
C.
Springwood
Springwood is the historic Hudson River estate in Hyde Park, New York, best known as the lifelong home and presidential library site of Franklin D. Roosevelt.
-
D.
Oakwood
Oakwood is a residential neighborhood on Staten Island, New York City, known for its suburban character and proximity to the island’s eastern shore.
-
E.
City of Lakes
City of Lakes is a popular nickname for Minneapolis, highlighting its many urban lakes and waterfronts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a498f912008190a376a98b207b2071 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c2f7aeb08190b52ef1058c18327e |
completed | March 1, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad08a9dd308190999d349f8b6297b8 |
completed | March 8, 2026, 5:27 a.m. |
Created at: March 1, 2026, 7:57 p.m.