Triple
T37405588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southwest Ranches, Florida |
E929118
|
entity |
| Predicate | urbanSprawlPressure |
P75270
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Southwest Ranches, Florida, urbanSprawlPressure, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: urbanSprawlPressure Context triple: [Southwest Ranches, Florida, urbanSprawlPressure, true]
-
A.
urbanScale
Indicates the extent or magnitude of development, density, or size at which an area or environment can be characterized as urban.
-
B.
hasLandUsePressure
chosen
Indicates that an area or entity is subject to demands or stresses from human or other uses of land that may affect its condition or availability.
-
C.
urbanTolerance
Indicates the degree to which an entity can persist, function, or thrive in urban or human-modified environments.
-
D.
isUrbanizing
Indicates a process in which an area or population becomes more urban in character, typically through increased development, infrastructure, and concentration of people and activities.
-
E.
urbanStatusContext
Indicates the relationship between an entity and the urban characteristics or conditions of its surrounding environment or context.
- 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_69f76ebbf79c8190b85bbcf3a6be57e4 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:16 p.m.