Triple
T2513700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Beach |
E52758
|
entity |
| Predicate | comparedTo |
P278
|
FINISHED |
| Object | South Beach |
E197974
|
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: South Beach | Statement: [North Beach, comparedTo, South Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: South Beach Context triple: [North Beach, comparedTo, South Beach]
-
A.
South Beach
chosen
South Beach is a waterfront neighborhood in San Francisco known for its bayside views, modern residential developments, and proximity to Oracle Park.
-
B.
South Beach
South Beach is a popular sandy shoreline in Aberystwyth, Wales, known for its promenade, seaside attractions, and views over Cardigan Bay.
-
C.
South Beach
South Beach is a coastal neighborhood on the East Shore of Staten Island in New York City, known for its beachfront, boardwalk, and views of the Verrazzano-Narrows Bridge.
-
D.
South Beach
South Beach is a famous Miami Beach neighborhood known for its vibrant nightlife, Art Deco architecture, and popular oceanfront beaches.
-
E.
South Beach
South Beach is a popular Atlantic Ocean beach on Martha’s Vineyard known for its wide sandy shoreline, strong surf, and scenic dunes.
- 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_69ab4958e76481908a235377dd921c9e |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd20c8ab0819096d6a654039beb39 |
completed | March 7, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2b934d3c81909627a5f4d6e6ca6a |
completed | March 9, 2026, 8:20 p.m. |
Created at: March 6, 2026, 9:46 p.m.