Triple
T81680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seattle |
E1640
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Port of Seattle |
E8086
|
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: Port of Seattle | Statement: [Seattle, hasPort, Port of Seattle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Seattle Context triple: [Seattle, hasPort, Port of Seattle]
-
A.
Port of Seattle
chosen
The Port of Seattle is a major Pacific Northwest seaport and aviation hub that manages cargo and cruise terminals as well as Seattle–Tacoma International Airport.
-
B.
Port of Tacoma
The Port of Tacoma is a major deep-water seaport in Washington State that serves as a key hub for international container shipping and trade in the Pacific Northwest.
-
C.
Port of Portland
The Port of Portland is a major Pacific Northwest seaport and transportation hub in Oregon that handles international maritime trade, cargo, and regional logistics.
-
D.
Port of Oakland
The Port of Oakland is a major deep-water seaport in Northern California and one of the primary container shipping hubs on the U.S. West Coast.
-
E.
Port of San Francisco
The Port of San Francisco is a major maritime facility and waterfront district on the city’s eastern shoreline, serving as a hub for cargo, ferries, cruise ships, and commercial development.
- 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_69a24c8150408190910a693eb51c1f71 |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a24f367b208190a69f5b76d6ae0496 |
completed | Feb. 28, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2b85cc6b881909e2c13e70b24d934 |
completed | Feb. 28, 2026, 9:41 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.