Triple
T76333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miami |
E1524
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Wynwood
Wynwood is a vibrant Miami neighborhood renowned for its colorful street art, trendy galleries, and lively nightlife.
|
E16398
|
NE FINISHED |
How this triple was built (4 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: Wynwood | Statement: [Miami, hasDistrict, Wynwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wynwood Context triple: [Miami, hasDistrict, Wynwood]
-
A.
Brickell
Brickell is a prominent urban neighborhood in Miami known as the city’s financial district, featuring high-rise offices, luxury condos, and vibrant nightlife.
-
B.
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.
-
C.
Arts District
The Arts District is a prominent cultural neighborhood in downtown Dallas known for its concentration of museums, theaters, and performing arts venues.
-
D.
Conley Terminal
Conley Terminal is the primary container shipping facility serving the Port of Boston and New England’s maritime trade.
-
E.
Little Havana
Little Havana is a vibrant Miami neighborhood known as the cultural and political heart of the Cuban exile community, famous for its Latin music, food, and street life.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wynwood Triple: [Miami, hasDistrict, Wynwood]
Generated description
Wynwood is a vibrant Miami neighborhood renowned for its colorful street art, trendy galleries, and lively nightlife.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wynwood Target entity description: Wynwood is a vibrant Miami neighborhood renowned for its colorful street art, trendy galleries, and lively nightlife.
-
A.
Brickell
Brickell is a prominent urban neighborhood in Miami known as the city’s financial district, featuring high-rise offices, luxury condos, and vibrant nightlife.
-
B.
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.
-
C.
Arts District
The Arts District is a prominent cultural neighborhood in downtown Dallas known for its concentration of museums, theaters, and performing arts venues.
-
D.
Conley Terminal
Conley Terminal is the primary container shipping facility serving the Port of Boston and New England’s maritime trade.
-
E.
Little Havana
Little Havana is a vibrant Miami neighborhood known as the cultural and political heart of the Cuban exile community, famous for its Latin music, food, and street life.
- F. None of above. chosen
Provenance (5 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_69a2b4b7ad108190b135179e485f4d5c |
completed | Feb. 28, 2026, 9:26 a.m. |
| NEDg | Description generation | batch_69a2b628124c8190aa1c3c7d00ccf65d |
completed | Feb. 28, 2026, 9:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2b67f72fc8190be99eaee8cb19057 |
completed | Feb. 28, 2026, 9:33 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.