Triple
T37405575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southwest Ranches, Florida |
E929118
|
entity |
| Predicate | landUsePolicyGoal |
P88042
|
FINISHED |
| Object | maintain open space |
—
|
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: maintain open space | Statement: [Southwest Ranches, Florida, landUsePolicyGoal, maintain open space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landUsePolicyGoal Context triple: [Southwest Ranches, Florida, landUsePolicyGoal, maintain open space]
-
A.
landUsePlanning
Indicates the relationship in which an authority or agent organizes, regulates, or designates how land and space may be used or developed within a given area.
-
B.
urbanDesignGoal
Indicates a goal or intended outcome related to the planning, shaping, or improvement of urban spaces and environments.
-
C.
policyAim
chosen
Indicates that a policy is intended to achieve, promote, or be directed toward a particular goal or objective.
-
D.
commonPolicyArea
Indicates that two entities share the same policy domain, topic, or area of regulatory or legislative focus.
-
E.
landUseIncludes
Indicates that a specified land area contains or permits the specified type(s) of land use within its boundaries.
- 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.