Triple
T4722829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miami |
E104808
|
entity |
| Predicate | regionalRankByPopulation |
P25930
|
FINISHED |
| Object | one of the largest cities in the southeastern United States |
—
|
LITERAL 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: one of the largest cities in the southeastern United States | Statement: [Miami, regionalRankByPopulation, one of the largest cities in the southeastern United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionalRankByPopulation Context triple: [Miami, regionalRankByPopulation, one of the largest cities in the southeastern United States]
-
A.
hasPopulationRankInRegion
chosen
Indicates that an entity has a specific population-based rank or position within a defined geographic region.
-
B.
continentRankByPopulation
Indicates the relative position of a continent in an ordered list based on its population size.
-
C.
hasPopulationRank
Indicates the relative position of an entity in an ordered list based on the size of its population.
-
D.
populationRank
Indicates the relative position of an entity in an ordered list based on the size of its population.
-
E.
populationRankAfter
Indicates the relative position of an entity in a population-based ordering that comes after another entity’s population rank.
- F. None of above.
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_69bd43ed84648190ae0b7ee8e8d00482 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd67c9c3c08190a6c4944cdd1362a8 |
completed | March 20, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69bd6220071881909670c89d072ffb6d |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:18 p.m.