Triple
T13129165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tacoma Narrows |
E311921
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Gig Harbor |
E364602
|
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: Gig Harbor | Statement: [Tacoma Narrows, near, Gig Harbor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gig Harbor Context triple: [Tacoma Narrows, near, Gig Harbor]
-
A.
Gig Harbor
chosen
Gig Harbor is a picturesque waterfront city in western Washington known for its maritime heritage, marinas, and views of Mount Rainier.
-
B.
Port of Olympia
The Port of Olympia is a public port authority and maritime facility in Washington State that supports regional trade, shipping, and economic development.
-
C.
Bremerton
Bremerton is a waterfront city in Washington State known for its naval shipyard and ferry connection to Seattle across Puget Sound.
-
D.
Anacortes
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.
-
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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9819bfd348190a22d44f837877e1c |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd9498f8848190a170a3d41c9e3a76 |
completed | May 8, 2026, 7:45 a.m. |
Created at: April 9, 2026, 9:07 p.m.