Triple
T2665708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirkland, Washington, United States |
E55629
|
entity |
| Predicate | hasNeighborhood |
P40
|
FINISHED |
| Object |
Juanita
Juanita is a residential neighborhood in the city of Kirkland, Washington, known for its parks, waterfront access, and suburban community character.
|
E288519
|
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: Juanita | Statement: [Kirkland, Washington, United States, hasNeighborhood, Juanita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juanita Context triple: [Kirkland, Washington, United States, hasNeighborhood, Juanita]
-
A.
Juanita
Juanita is a feminine given name of Spanish origin commonly used in English- and Spanish-speaking countries.
-
B.
Jacqueline
Jacqueline is a feminine given name most famously borne by former U.S. First Lady Jacqueline Kennedy Onassis.
-
C.
Janet
Janet is a feminine given name commonly used in English-speaking countries, often associated with notable figures in entertainment and public life.
-
D.
Juanita Vanoy
Juanita Vanoy is a former model and Chicago-based real estate professional best known as the ex-wife of basketball legend Michael Jordan.
-
E.
Jeane
Jeane is a feminine given name most notably associated with American diplomat and political scientist Jeane Kirkpatrick.
- 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: Juanita Triple: [Kirkland, Washington, United States, hasNeighborhood, Juanita]
Generated description
Juanita is a residential neighborhood in the city of Kirkland, Washington, known for its parks, waterfront access, and suburban community character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Juanita Target entity description: Juanita is a residential neighborhood in the city of Kirkland, Washington, known for its parks, waterfront access, and suburban community character.
-
A.
Juanita
Juanita is a feminine given name of Spanish origin commonly used in English- and Spanish-speaking countries.
-
B.
Jacqueline
Jacqueline is a feminine given name most famously borne by former U.S. First Lady Jacqueline Kennedy Onassis.
-
C.
Janet
Janet is a feminine given name commonly used in English-speaking countries, often associated with notable figures in entertainment and public life.
-
D.
Juanita Vanoy
Juanita Vanoy is a former model and Chicago-based real estate professional best known as the ex-wife of basketball legend Michael Jordan.
-
E.
Jeane
Jeane is a feminine given name most notably associated with American diplomat and political scientist Jeane Kirkpatrick.
- 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_69ab49e54de48190be708cd1cf8be073 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd96ed2748190a4feae98199b459d |
completed | March 7, 2026, 7:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa058fdd08190a355fc8131cd6695 |
completed | March 10, 2026, 4:38 a.m. |
| NEDg | Description generation | batch_69afa15a8a94819095273a3ea37e2c73 |
completed | March 10, 2026, 4:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afa1e4ffb08190a6d96665ee566ea7 |
completed | March 10, 2026, 4:45 a.m. |
Created at: March 6, 2026, 9:54 p.m.