Triple
T485976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windmill Island Gardens |
E9877
|
entity |
| Predicate | windmillType |
P13540
|
FINISHED |
| Object | traditional Dutch windmill |
—
|
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: traditional Dutch windmill | Statement: [Windmill Island Gardens, windmillType, traditional Dutch windmill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: windmillType Context triple: [Windmill Island Gardens, windmillType, traditional Dutch windmill]
-
A.
turbineType
Indicates the specific kind or category of turbine associated with or used by an entity.
-
B.
wheelType
Indicates the specific kind or category of wheel associated with an entity.
-
C.
typeOfUtility
Indicates that one entity is a specific kind or category of utility associated with another entity.
-
D.
numberOfTurbines
Indicates the quantity of turbines associated with a given entity or installation.
-
E.
fairingType
Indicates the specific kind or design category of a fairing used in a structure, vehicle, or assembly.
- F. None of above. chosen
Provenance (4 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_69a2e802e2908190ab17c9479e0b6412 |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2f0bc6f548190b13dee42cb100423 |
completed | Feb. 28, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69a2edf48ec08190b85d07e194f99c49 |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eeba8a488190986cc7381332f783 |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.