Triple
T21891593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avalon, California |
E540561
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object | Avalon Harbor |
—
|
NE NERFINISHED |
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: Avalon Harbor | Statement: [Avalon, California, hasAttraction, Avalon Harbor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avalon Harbor Context triple: [Avalon, California, hasAttraction, Avalon Harbor]
-
A.
Avalon Harbor
chosen
Avalon Harbor is the main picturesque waterfront and boating hub of the resort city of Avalon on Santa Catalina Island, California.
-
B.
Avalon Landing
Avalon Landing is an American indie rock band known for its melodic, harmony-driven songs and emotionally resonant lyrics.
-
C.
Oldtown harbor
Oldtown harbor is the bustling maritime port of the ancient city of Oldtown in the world of A Song of Ice and Fire, serving as a key hub for trade and sea travel in the Reach.
-
D.
Friendship harbor
Friendship harbor is a small coastal harbor in the fishing town of Friendship, Maine, known for its traditional lobster fleet and scenic maritime character.
-
E.
Seahaven
Seahaven is the idyllic, meticulously controlled fictional town where the protagonist unknowingly lives inside a televised reality show in the film "The Truman Show."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47a95908190ae3e19b716accb3d |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f11fc3727c8190b4d5d5a44aa2e55e |
completed | April 28, 2026, 8:59 p.m. |
Created at: April 16, 2026, 7:06 p.m.