Triple
T31740011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biggesee |
E810109
|
entity |
| Predicate | floodProtectionFor |
P158687
|
FINISHED |
| Object | Ruhr area |
—
|
NE NERFINISHED |
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: Ruhr area | Statement: [Biggesee, floodProtectionFor, Ruhr area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floodProtectionFor Context triple: [Biggesee, floodProtectionFor, Ruhr area]
-
A.
designedForFloodMitigationOf
chosen
Indicates that something is specifically created or configured to reduce, control, or manage flooding affecting a particular entity or area.
-
B.
hasFloodProtectionInfrastructure
Indicates that there exists built or implemented infrastructure designed to protect against or mitigate flooding for the referenced entity.
-
C.
hasFloodProtectionProject
Indicates that a flood protection project exists or is implemented for the referenced entity.
-
D.
floodResistanceDesign
Indicates that something is designed or engineered to withstand, mitigate, or remain functional during flooding conditions.
-
E.
floodResistanceImproved
Indicates that an entity’s ability to withstand or cope with flooding has been enhanced.
- 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_69f348e233cc819083b6695f70cd75d8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6ab26af4c8190a3b2ea0f92edc6af |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa20a1588190a53533fc9764efb2 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 30, 2026, 11:24 p.m.