Triple
T3945088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Bragg |
E92125
|
entity |
| Predicate | hasHarbor |
P3007
|
FINISHED |
| Object | Noyo Harbor |
E403179
|
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: Noyo Harbor | Statement: [Fort Bragg, hasHarbor, Noyo Harbor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noyo Harbor Context triple: [Fort Bragg, hasHarbor, Noyo Harbor]
-
A.
Noyo Harbor
chosen
Noyo Harbor is a scenic working fishing port and marina in Fort Bragg, California, known for its seafood, coastal views, and whale-watching and charter boat activities.
-
B.
Noyo Beach
Noyo Beach is a small, scenic public beach along the Mendocino Coast in Fort Bragg, California, known for its rugged shoreline, coastal views, and access near Noyo Harbor.
-
C.
Kaunakakai Harbor
Kaunakakai Harbor is the main commercial and transportation port serving the island of Molokaʻi in Hawaii.
-
D.
Weno Harbor
Weno Harbor is the main maritime harbor serving the island town of Weno in Chuuk State, Micronesia, functioning as a key hub for local transportation and trade.
-
E.
Nawiliwili Harbor
Nawiliwili Harbor is the main commercial and cruise ship port on the island of Kauai in Hawaii, serving as a key gateway for goods and visitors.
- 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_69aed965502c8190904ebad1203a4ae8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef0d8841081908d2c1de8e5758017 |
completed | March 9, 2026, 4:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b556173f848190bf8b879a7c61a43f |
completed | March 14, 2026, 12:35 p.m. |
Created at: March 9, 2026, 3:24 p.m.