Triple
T20152284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malibu Pier |
E491461
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Surfrider 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: Surfrider Beach | Statement: [Malibu Pier, near, Surfrider Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Surfrider Beach Context triple: [Malibu Pier, near, Surfrider Beach]
-
A.
Surfrider Beach
chosen
Surfrider Beach is a famous Malibu surf spot known for its long, rideable waves and iconic Southern California beach culture.
-
B.
Pacific Beach
Pacific Beach is a lively coastal neighborhood in San Diego, California, known for its sandy beaches, surf culture, and vibrant nightlife.
-
C.
São Francisco Beach
São Francisco Beach is a popular urban beach in Niterói, Brazil, known for its calm waters, scenic views of Guanabara Bay, and vibrant seaside promenade.
-
D.
Coronado Beach
Coronado Beach is a wide, picturesque stretch of coastline on Coronado Island known for its soft sand, gentle surf, and views of the historic Hotel del Coronado near San Diego.
-
E.
Goleta Beach
Goleta Beach is a popular coastal recreation area near Santa Barbara, California, known for its sandy shoreline, pier, and adjacent park facilities.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667dda9b4819097ff66bb2b50fc21 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:33 p.m.