Triple
T8749317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catskill system reservoirs |
E207914
|
entity |
| Predicate | conveysWaterVia |
P14199
|
FINISHED |
| Object | gravity-fed aqueduct 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: gravity-fed aqueduct system | Statement: [Catskill system reservoirs, conveysWaterVia, gravity-fed aqueduct system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conveysWaterVia Context triple: [Catskill system reservoirs, conveysWaterVia, gravity-fed aqueduct system]
-
A.
transportsWaterTo
chosen
Indicates that one entity carries or conveys water from its location or source to another entity or destination.
-
B.
transportsWaterFrom
Indicates that one entity carries or conveys water from a specified source entity to another location or entity.
-
C.
usedWaterway
Indicates that one entity traveled, transported goods, or otherwise moved via a particular waterway as the route or medium of use.
-
D.
waterwayThrough
Indicates that a waterway (such as a river or canal) passes through or traverses a specified geographic area or feature.
-
E.
waterwayServed
Indicates that a place, facility, or infrastructure is served by, connected to, or functionally supported by a particular waterway.
- 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_69ca835bb2bc819084bb5906cb6ef7f8 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5da4214881908b6917f847c43cb5 |
completed | March 31, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69cc5c160dac8190b4aeb4bf0529de52 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:39 p.m.