Triple
T37416903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westlake, Florida |
E929732
|
entity |
| Predicate | landDevelopmentPattern |
P58795
|
FINISHED |
| Object | greenfield development |
—
|
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: greenfield development | Statement: [Westlake, Florida, landDevelopmentPattern, greenfield development]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landDevelopmentPattern Context triple: [Westlake, Florida, landDevelopmentPattern, greenfield development]
-
A.
landUsePatternInfluencedBy
Indicates that the configuration or distribution of land uses is shaped, affected, or determined by another factor, condition, or process.
-
B.
areaBasedDevelopmentType
chosen
Indicates the type or category of development applied to a specific geographic area or zone.
-
C.
urbanDevelopmentType
Indicates the specific category or nature of urban development associated with or applied to an entity (e.g., residential, commercial, mixed-use).
-
D.
territorialDevelopment
Indicates the process or actions through which a geographic area is planned, organized, and transformed for social, economic, or infrastructural purposes.
-
E.
urbanDevelopment
Indicates the process or activities through which urban areas are planned, expanded, or transformed, including changes to infrastructure, land use, and the built environment.
- 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_69f76ebde49481908566cd96b37ccc84 |
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.