Triple
T1912793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allapattah |
E38146
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Overtown |
E4884
|
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: Overtown | Statement: [Allapattah, adjacentTo, Overtown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Overtown Context triple: [Allapattah, adjacentTo, Overtown]
-
A.
Overtown
chosen
Overtown is a historic neighborhood in Miami, Florida, known as one of the city's oldest African-American communities and a former cultural hub for Black entertainment and business.
-
B.
Southside
"Southside" is a hip-hop track by Common featuring Kanye West, known for its soulful production and reflective lyrics.
-
C.
Mob Town
Mob Town is a historic nickname for the city of Baltimore, reflecting its long-standing reputation for civil unrest and rowdy public gatherings in the 19th century.
-
D.
40 Acres
40 Acres is a track by rapper Pusha T from his debut studio album "My Name Is My Name."
-
E.
Sugar Hill
Sugar Hill is a 1993 crime drama film set in Harlem that follows two brothers navigating the dangers of the drug trade and family loyalty.
- 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1e26b948190aa194c30755ac5df |
completed | March 7, 2026, 5:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeb01a3448190aa2cb19be977fd67 |
completed | March 8, 2026, 9:32 p.m. |
Created at: March 4, 2026, 7:35 p.m.