Triple
T10601841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freeland, Washington |
E275766
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Island County |
E46925
|
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: Island County | Statement: [Freeland, Washington, county, Island County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Island County Context triple: [Freeland, Washington, county, Island County]
-
A.
Island County
chosen
Island County is a county in Washington State composed mainly of Whidbey and Camano Islands, known for its coastal scenery and maritime communities in the Puget Sound.
-
B.
Lewis County
Lewis County is a county in southwestern Washington State known for its rural communities, forests, and position between the Cascade Range and the Pacific Coast.
-
C.
Lewis County
Lewis County is a rural county in north-central Idaho known for its agricultural communities, forested landscapes, and small-town character.
-
D.
Lewis County
Lewis County is a rural county in northern New York State known for its forests, outdoor recreation, and location within the Tug Hill Plateau region.
-
E.
Esmeralda County
Esmeralda County is a sparsely populated rural county in western Nevada known for its historic mining towns and vast desert landscapes.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6ded61d5c8190b13890c964b59949 |
completed | April 8, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95ea8f1688190aa36e29b52667d26 |
completed | April 10, 2026, 8:33 p.m. |
Created at: April 8, 2026, 7:31 p.m.