Triple
T11213164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenleaf Point |
E265359
|
entity |
| Predicate | hasRiverMouthRelation |
P71583
|
FINISHED |
| Object | downstream from Anacostia River |
—
|
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: downstream from Anacostia River | Statement: [Greenleaf Point, hasRiverMouthRelation, downstream from Anacostia River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRiverMouthRelation Context triple: [Greenleaf Point, hasRiverMouthRelation, downstream from Anacostia River]
-
A.
riverMouthBasin
Indicates that a river’s mouth lies within or drains into a particular drainage basin.
-
B.
riverMouthType
Indicates the type or form of the feature where a river meets a larger body of water.
-
C.
isTidalMouthOf
chosen
Indicates that one location is the tidal mouth or estuarine outlet through which a river or watercourse enters a larger body of water.
-
D.
riverMouthRegion
Indicates the region or area where a river flows into a larger body of water, such as a sea, lake, or another river.
-
E.
hasHumanSettlementAtMouth
Indicates that a human settlement is located at the mouth (outflow point) of a geographic feature such as a river or valley.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8d7f47c8190b78c640ff1a01943 |
completed | April 9, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69d75cfbbb188190861efd5d94fe27da |
completed | April 9, 2026, 8:02 a.m. |
Created at: April 8, 2026, 9:30 p.m.