Triple
T21525821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ThinkPark Tower |
E531092
|
entity |
| Predicate | hasGreenDesignFeatures |
P83569
|
FINISHED |
| Object | landscaped open spaces |
—
|
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: landscaped open spaces | Statement: [ThinkPark Tower, hasGreenDesignFeatures, landscaped open spaces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGreenDesignFeatures Context triple: [ThinkPark Tower, hasGreenDesignFeatures, landscaped open spaces]
-
A.
hasSustainabilityFeature
chosen
Indicates that an entity includes or is associated with a feature, attribute, or characteristic that contributes to environmental, social, or economic sustainability.
-
B.
hasGreenhouse
Indicates that an entity possesses or includes a greenhouse structure or facility.
-
C.
hasGreenType
Indicates that an entity possesses or is associated with a type classified as green.
-
D.
designedFeature
Indicates that one entity is a feature or component intentionally planned, created, or specified by another entity as part of a design.
-
E.
isGreenInfrastructure
Indicates that something functions as green infrastructure, meaning it is a natural or nature-based system designed to provide environmental benefits such as stormwater management, habitat support, or climate regulation.
- 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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee885073888190ae49f967f72acbf8 |
completed | April 26, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69e6320043bc81909417c41a718652ba |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:26 p.m.