Triple
T7903164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinderdijk |
E183504
|
entity |
| Predicate | drainageSystemIncludes |
P79684
|
FINISHED |
| Object | windmills |
—
|
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: windmills | Statement: [Kinderdijk, drainageSystemIncludes, windmills]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drainageSystemIncludes Context triple: [Kinderdijk, drainageSystemIncludes, windmills]
-
A.
drainageType
Indicates the kind or classification of drainage associated with or applied to an entity (e.g., how water is removed or flows from it).
-
B.
drainageStatus
Indicates the condition or effectiveness of water removal or runoff from an area, surface, or system.
-
C.
drainageProject
Indicates that an entity is involved in or designated as a project focused on constructing, improving, or managing systems for removing excess surface or groundwater from an area.
-
D.
drainagePattern
Indicates the characteristic spatial arrangement and connectivity of natural or artificial drainage features (such as streams, channels, or pipes) within an area.
-
E.
drainageInfluencedBy
Indicates that the pattern, direction, or effectiveness of drainage is affected or controlled by another factor or entity.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a41b0fc81909890f2e4f432a5cf |
completed | March 31, 2026, 3:06 a.m. |
| PD | Predicate disambiguation | batch_69cae92f9498819085277879e59aa072 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7882b048190baa333af9f698590 |
completed | March 30, 2026, 10:22 p.m. |
Created at: March 30, 2026, 5:02 p.m.