Triple
T10559959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puget Sound Navy Museum |
E249189
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Bremerton |
E50019
|
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: Bremerton | Statement: [Puget Sound Navy Museum, city, Bremerton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bremerton Context triple: [Puget Sound Navy Museum, city, Bremerton]
-
A.
Bremerton
chosen
Bremerton is a waterfront city in Washington State known for its naval shipyard and ferry connection to Seattle across Puget Sound.
-
B.
Seattle–Bremerton
Seattle–Bremerton is a major Washington State ferry route across Puget Sound that connects the city of Seattle with the city of Bremerton on the Kitsap Peninsula.
-
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.
Long Beach, Washington
Long Beach, Washington is a small coastal city on the Long Beach Peninsula known for its expansive sandy beach, tourism, and seaside attractions.
-
E.
Port Orchard
Port Orchard is a small waterfront city in Washington State known as the administrative and commercial hub of Kitsap County.
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5271f3c6c819080b49fbe3aa09e09 |
completed | April 7, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e482f327e48190ad087c232fd05609 |
completed | April 19, 2026, 7:23 a.m. |
Created at: April 6, 2026, 12:35 p.m.