Triple
T9829975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B Street Cruise Terminal |
E238757
|
entity |
| Predicate | hasAccess |
P273
|
FINISHED |
| Object | San Diego waterfront |
E47185
|
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: San Diego waterfront | Statement: [B Street Cruise Terminal, hasAccess, San Diego waterfront]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San Diego waterfront Context triple: [B Street Cruise Terminal, hasAccess, San Diego waterfront]
-
A.
Marina, California
Marina, California is a coastal city in Monterey County known for its beaches, dunes, and proximity to Monterey Bay.
-
B.
Oceanside
Oceanside is a coastal city in northern San Diego County known for its beaches, historic wooden pier, and laid-back Southern California surf culture.
-
C.
Oceanside
Oceanside is a suburban hamlet in Nassau County, Long Island, New York, known as a residential community near the South Shore waterfront.
-
D.
Port of San Diego
chosen
The Port of San Diego is a major maritime hub on San Diego Bay that manages cargo, cruise, shipbuilding, and waterfront real estate activities for the San Diego region.
-
E.
Downtown San Diego
Downtown San Diego is the city's central urban core, known for its waterfront, cultural attractions, nightlife, and role as a major business and transit hub in Southern California.
- 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_69ca84e0dd1881909800765d1e21f735 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3282a2481908913addf2b3fa58b |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc8ca2808190a1da0641162f12d1 |
completed | April 5, 2026, 2:44 a.m. |
Created at: March 30, 2026, 8:32 p.m.