Triple
T34767539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dhünntalsperre |
E1002261
|
entity |
| Predicate | isPartOfWaterSupplySystemFor |
P36984
|
FINISHED |
| Object | Cologne region |
—
|
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: Cologne region | Statement: [Dhünntalsperre, isPartOfWaterSupplySystemFor, Cologne region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfWaterSupplySystemFor Context triple: [Dhünntalsperre, isPartOfWaterSupplySystemFor, Cologne region]
-
A.
isPartOfWaterSystem
chosen
Indicates that one entity is a component, segment, or subsystem within a larger water distribution, treatment, or management system.
-
B.
sourceOfWaterSupply
Indicates that one entity serves as the origin or provider of another entity’s water supply.
-
C.
waterSourceSystem
Indicates a system that supplies, manages, or distributes water as a source for use by other entities.
-
D.
watercourseTypeServed
Indicates the type of watercourse (e.g., river, canal, stream) that is supplied, supported, or otherwise served by a given feature or system.
-
E.
waterSupplyPopulationServed
Indicates the number of people that are provided with or served by a particular water supply system.
- 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_69f76db20dac8190b1e8d0ca4dc1d59f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69ff70ecc1a481909571b18d56d982b8 |
completed | May 9, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69ff70322a3c8190837840ea42cd3093 |
completed | May 9, 2026, 5:34 p.m. |
Created at: May 3, 2026, 3:59 p.m.