Triple
T19622857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomaree Head Summit Walk |
E471054
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Wreck Beach |
—
|
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: Wreck Beach | Statement: [Tomaree Head Summit Walk, hasViewOf, Wreck Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wreck Beach Context triple: [Tomaree Head Summit Walk, hasViewOf, Wreck Beach]
-
A.
Wreck Beach
chosen
Wreck Beach is a secluded coastal beach known for its natural scenery and relative isolation near Tomaree Head in New South Wales, Australia.
-
B.
Wreck Beach
Wreck Beach is a famous clothing-optional beach in Vancouver, British Columbia, known for its natural setting, steep access trails, and countercultural atmosphere.
-
C.
Wrecked
"Wrecked" is a mystery novel by American author Carol Higgins Clark, featuring her recurring sleuth Regan Reilly in a lighthearted, suspenseful whodunit.
-
D.
Wrecked
Wrecked is a comedic short film directed by Eric Kissack, known for its dark humor and twist-driven narrative.
-
E.
Wild Beach
Wild Beach is a scenic coastal area associated with Amala, known for its natural, undeveloped shoreline and tranquil seaside atmosphere.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640e7949081908a89414ef899fa20 |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:44 p.m.