Triple
T14932237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zuma and Trancas Canyons |
E372294
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Zuma Beach |
E611486
|
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: Zuma Beach | Statement: [Zuma and Trancas Canyons, near, Zuma Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zuma Beach Context triple: [Zuma and Trancas Canyons, near, Zuma Beach]
-
A.
Zuma Beach
chosen
Zuma Beach is a wide, sandy public beach in Malibu, California, known for its surf-friendly waves, long shoreline, and popularity with both locals and tourists.
-
B.
Zicatela Beach
Zicatela Beach is a famous surf beach in Puerto Escondido, Oaxaca, Mexico, renowned worldwide for its powerful, barreling waves often compared to Hawaii’s Pipeline.
-
C.
Tabuba Beach
Tabuba Beach is a popular coastal destination in Caucaia, Brazil, known for its scenic shoreline, calm waters, and relaxed atmosphere.
-
D.
Juhu Beach
Juhu Beach is a popular and expansive seaside destination in Mumbai, India, known for its lively atmosphere, street food stalls, and views of the Arabian Sea.
-
E.
Mambo Beach
Mambo Beach is a popular sandy beach and entertainment area in Curaçao known for its clear waters, beach clubs, restaurants, and vibrant nightlife.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded646a0808190ba5c0c91bde011c5 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e8ac6d08190809045a6d00a3d47 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:37 a.m.