Triple
T12837280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Houghton Beach Park |
E306950
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Kirkland, Washington |
E55629
|
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: Kirkland, Washington | Statement: [Houghton Beach Park, locatedIn, Kirkland, Washington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kirkland, Washington Context triple: [Houghton Beach Park, locatedIn, Kirkland, Washington]
-
A.
Kirkland
Kirkland is a suburban city on the eastern shore of Lake Washington in Washington State, known for its waterfront parks, vibrant downtown, and role as part of the Seattle metropolitan area.
-
B.
Kirkland
Kirkland is a suburban town located on the Island of Montreal in the Canadian province of Quebec.
-
C.
Kirkland
Kirkland is a surname most notably associated with American ballerina Gelsey Kirkland.
-
D.
Kirkland, Washington, United States
chosen
Kirkland, Washington, United States is a suburban city on the eastern shore of Lake Washington near Seattle, known for its waterfront parks, tech industry presence, and association with Costco’s “Kirkland Signature” brand.
-
E.
Bellevue, Washington
Bellevue, Washington is a rapidly growing city in the Seattle metropolitan area known for its thriving tech industry, upscale downtown, and high quality of life.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff015f4819090070a01f3938acc |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe729766008190803c1dfef2c8c872 |
completed | May 8, 2026, 11:32 p.m. |
Created at: April 9, 2026, 5:35 p.m.