Triple
T238966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Overtown |
E4884
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Wynwood |
E16398
|
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: Wynwood | Statement: [Overtown, near, Wynwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wynwood Context triple: [Overtown, near, Wynwood]
-
A.
Wynwood
chosen
Wynwood is a vibrant Miami neighborhood renowned for its colorful street art, trendy galleries, and lively nightlife.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
Arts District
The Arts District is a prominent cultural neighborhood in downtown Dallas known for its concentration of museums, theaters, and performing arts venues.
- 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_69a3695ec8cc8190a070462cd0022f6a |
completed | Feb. 28, 2026, 10:17 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.