Triple
T37687180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pașcani |
E938401
|
entity |
| Predicate | drinkingWaterSupply |
P4102
|
FINISHED |
| Object | public water system |
—
|
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: public water system | Statement: [Pașcani, drinkingWaterSupply, public water system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drinkingWaterSupply Context triple: [Pașcani, drinkingWaterSupply, public water system]
-
A.
sourceOfWaterSupply
Indicates that one entity serves as the origin or provider of another entity’s water supply.
-
B.
waterSupplyShare
Indicates the proportion of a total water supply that is allocated to or used by a particular entity.
-
C.
waterSupplyPopulationServed
Indicates the number of people that are provided with or served by a particular water supply system.
-
D.
waterSourceSystem
Indicates a system that supplies, manages, or distributes water as a source for use by other entities.
-
E.
waterSource
chosen
Indicates that one entity serves as the source or provider of water for another entity.
- 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_69f76ed881408190bc62a969530a4a53 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.