Triple
T76338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miami |
E1524
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Miami Beach |
E9304
|
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: Miami Beach | Statement: [Miami, nearbyCity, Miami Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miami Beach Context triple: [Miami, nearbyCity, Miami Beach]
-
A.
Miami Beach
chosen
Miami Beach is a coastal resort city in southeastern Florida known for its sandy beaches, Art Deco Historic District, and vibrant nightlife.
-
B.
Miami
Miami is a major coastal city in southeastern Florida known for its vibrant nightlife, diverse culture, and role as a global center for finance, tourism, and international trade.
-
C.
Downtown Miami
Downtown Miami is the central business, cultural, and commercial core of Miami, known for its high-rise skyline, waterfront views, and vibrant urban life.
-
D.
Coconut Grove
Coconut Grove is a historic, bohemian waterfront neighborhood in Miami known for its lush tropical scenery, artsy vibe, and lively dining and nightlife.
-
E.
Orlando
Orlando is a major city in central Florida known for its theme parks, tourism industry, and entertainment attractions.
- 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_69a24c60d19c8190a1b6c105ca59ef5b |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a24f1d20b88190b66836cc018e52e1 |
completed | Feb. 28, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2fcfeaae88190987696a6a6dafe12 |
completed | Feb. 28, 2026, 2:34 p.m. |
Created at: Feb. 28, 2026, 2:06 a.m.