Triple
T30047329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shavertown, New York |
E763489
|
entity |
| Predicate | waterSystemComponentOf |
P36984
|
FINISHED |
| Object | New York City Delaware System |
—
|
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: New York City Delaware System | Statement: [Shavertown, New York, waterSystemComponentOf, New York City Delaware System]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterSystemComponentOf Context triple: [Shavertown, New York, waterSystemComponentOf, New York City Delaware System]
-
A.
waterSourceSystem
Indicates a system that supplies, manages, or distributes water as a source for use by other entities.
-
B.
isPartOfWaterSystem
chosen
Indicates that one entity is a component, segment, or subsystem within a larger water distribution, treatment, or management system.
-
C.
waterInfrastructure
Indicates the existence, development, or management of systems and facilities that supply, store, treat, or distribute water between entities.
-
D.
sourceOfWaterSupply
Indicates that one entity serves as the origin or provider of another entity’s water supply.
-
E.
waterType
Indicates the specific kind or category of water associated with an entity (e.g., fresh, salt, brackish).
- 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_69f22470a89c8190be7273297c0e0d19 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7b5ccbda481908fe1945c35e36ce8 |
completed | May 3, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
Created at: April 29, 2026, 6:54 p.m.