Triple
T1632445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miami station |
E35285
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Hialeah |
E28986
|
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: Hialeah | Statement: [Miami station, locatedNear, Hialeah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hialeah Context triple: [Miami station, locatedNear, Hialeah]
-
A.
Hialeah Gardens
Hialeah Gardens is a small suburban city in Miami-Dade County, Florida, known primarily as a residential community within the greater Miami metropolitan area.
-
B.
Hialeah, Florida
chosen
Hialeah, Florida is a city in Miami-Dade County known for its large Cuban American population and strong Hispanic cultural influence.
-
C.
North Miami
North Miami is a suburban city in northeastern Miami-Dade County, Florida, known for its diverse population and proximity to both Biscayne Bay and downtown Miami.
-
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.
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.
- 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_69a886036bc081909ff5de16dbe5e8ea |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a909f6ee1881908f0753a77a2c4665 |
completed | March 5, 2026, 4:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8aba8d4c819098be250f8487df45 |
completed | March 8, 2026, 2:42 p.m. |
Created at: March 4, 2026, 7:28 p.m.