Triple
T6157176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belmar |
E137349
|
entity |
| Predicate | originalName |
P65
|
FINISHED |
| Object | Ocean Beach |
E183686
|
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: Ocean Beach | Statement: [Belmar, originalName, Ocean Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ocean Beach Context triple: [Belmar, originalName, Ocean Beach]
-
A.
Ocean Beach
chosen
Ocean Beach is a long, windswept sandy shoreline on the western edge of San Francisco, popular for coastal walks, surfing, and dramatic Pacific Ocean views.
-
B.
Ocean Beach
Ocean Beach is a popular surf and swimming beach near Whangārei on New Zealand’s North Island, known for its scenic dunes and coastal walking tracks.
-
C.
Ocean Beach
Ocean Beach is a popular seaside village on Fire Island, New York, known for its sandy beaches, lively summer atmosphere, and car-free, boardwalk-lined streets.
-
D.
Pacific Beach
Pacific Beach is a lively coastal neighborhood in San Diego, California, known for its sandy beaches, surf culture, and vibrant nightlife.
-
E.
Montara State Beach
Montara State Beach is a scenic sandy beach on the San Mateo County coast of California, popular for coastal views, surfing, and hiking along the Pacific Ocean.
- 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d3177588190970a45af0d43b04c |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c518ee96c48190afe3f42477f38856 |
completed | March 26, 2026, 11:30 a.m. |
Created at: March 22, 2026, 4:17 p.m.