Triple
T24973815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fens |
E624962
|
entity |
| Predicate | drainageAssociatedWith |
P108817
|
FINISHED |
| Object | Dutch engineers |
—
|
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: Dutch engineers | Statement: [Fens, drainageAssociatedWith, Dutch engineers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drainageAssociatedWith Context triple: [Fens, drainageAssociatedWith, Dutch engineers]
-
A.
causeOfDrainage
Indicates the factor or process that leads to or is responsible for the drainage of a substance, area, or system.
-
B.
drainagePurpose
Indicates the intended function or reason for which a drainage system or feature is designed or used.
-
C.
drainageBetween
Indicates that one area or feature serves as a drainage path or channel between two other areas or features, allowing water or runoff to flow from one to the other.
-
D.
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).
-
E.
drainageMaintainedBy
chosen
Indicates that the upkeep, operation, or management of a drainage system is performed or overseen by a specified agent or organization.
- 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_69e2ff24512481908e9a72315b8d0354 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f4490283c481908c18246dc7125eec |
completed | May 1, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 6:01 a.m.