Triple
T4715363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Canada Creek |
E104622
|
entity |
| Predicate | hasGagingStation |
P59133
|
FINISHED |
| Object | near East Creek, New York |
—
|
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: near East Creek, New York | Statement: [East Canada Creek, hasGagingStation, near East Creek, New York]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGagingStation Context triple: [East Canada Creek, hasGagingStation, near East Creek, New York]
-
A.
hasMeteorologicalStation
Indicates that one entity possesses, hosts, or is equipped with a meteorological station used for observing and recording weather-related data.
-
B.
hasFocalStations
Indicates that an entity is associated with one or more primary or central stations that serve as its main points of focus or operation.
-
C.
hasStationBuilding
Indicates that a station is associated with or includes a station building as part of its facilities.
-
D.
hasNotableStation
Indicates that an entity possesses or is associated with a station that is considered notable or significant in some context.
-
E.
hasStationManager
Indicates that an entity has another entity serving as its station manager.
- F. None of above. chosen
Provenance (4 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_69bd43ec4a348190bc41afae43375e71 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd680beb508190b3d74e20e1c64405 |
completed | March 20, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69bd621ddcd88190903288566f5e5dab |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd680b06e881908de87edf815f3cc0 |
completed | March 20, 2026, 3:30 p.m. |
Created at: March 20, 2026, 1:18 p.m.