Triple
T238979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USMIA |
E4885
|
entity |
| Predicate | represents |
P129
|
FINISHED |
| Object | port of Miami |
E30347
|
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: port of Miami | Statement: [USMIA, represents, port of Miami]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: port of Miami Context triple: [USMIA, represents, port of Miami]
-
A.
PortMiami
chosen
PortMiami is a major seaport in Miami, Florida, known as one of the world’s busiest cruise ports and a key hub for international cargo trade.
-
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.
Miami Beach
Miami Beach is a coastal resort city in southeastern Florida known for its sandy beaches, Art Deco Historic District, and vibrant nightlife.
-
D.
Panama City
Panama City is the largest urban center and economic hub of Panama, known for its modern skyline, historic Casco Viejo district, and proximity to the Panama Canal.
-
E.
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.
- 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25ccda0ac8190a44f4bebfc0aba67 |
completed | Feb. 28, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a386155c0c8190baa1a1d5df15392e |
completed | March 1, 2026, 12:19 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.