Triple
T2654215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skagit County |
E53970
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Anacortes |
E279028
|
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: Anacortes | Statement: [Skagit County, contains, Anacortes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anacortes Context triple: [Skagit County, contains, Anacortes]
-
A.
Anacortes
chosen
Anacortes is a coastal city in northwestern Washington State known as a gateway to the San Juan Islands and a hub for boating and outdoor recreation.
-
B.
Port Orchard
Port Orchard is a small waterfront city in Washington State known as the administrative and commercial hub of Kitsap County.
-
C.
Gig Harbor
Gig Harbor is a picturesque waterfront city in western Washington known for its maritime heritage, marinas, and views of Mount Rainier.
-
D.
Mukilteo
Mukilteo is a coastal city in Washington State known for its ferry terminal, historic lighthouse, and views across Possession Sound.
-
E.
Bremerton
Bremerton is a waterfront city in Washington State known for its naval shipyard and ferry connection to Seattle across Puget Sound.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd932a35881909568839589f12062 |
completed | March 7, 2026, 7:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f00fe39481908cee24dc57be2b3b |
completed | March 14, 2026, 5:20 a.m. |
Created at: March 6, 2026, 9:53 p.m.