Triple
T19590799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avalon Park and Preserve |
E470223
|
entity |
| Predicate | lightingPolicy |
P51958
|
FINISHED |
| Object | limited artificial lighting |
—
|
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: limited artificial lighting | Statement: [Avalon Park and Preserve, lightingPolicy, limited artificial lighting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lightingPolicy Context triple: [Avalon Park and Preserve, lightingPolicy, limited artificial lighting]
-
A.
hasLightingPolicy
chosen
Indicates that there is a defined policy or set of rules governing how lighting is used, managed, or controlled for the related entity.
-
B.
hasLighting
Indicates that one entity is equipped with, contains, or is characterized by a particular type or configuration of lighting.
-
C.
lightingDependsOn
Indicates that the state or behavior of lighting is determined or influenced by another specified factor or condition.
-
D.
lightingColor
Indicates the color or hue of the lighting applied to or associated with an entity.
-
E.
lightingRequirement
Indicates the level or type of light that is needed for something to function, grow, or be used properly.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6405646f0819089436d5517c03047 |
completed | April 20, 2026, 3:03 p.m. |
| PD | Predicate disambiguation | batch_69e514dbdb988190b55931a8138c73e7 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:43 p.m.