Triple
T2636152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Housatonic River |
E59749
|
entity |
| Predicate | crossesStateBorderBetween |
P31352
|
FINISHED |
| Object | Massachusetts and Connecticut |
—
|
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: Massachusetts and Connecticut | Statement: [Housatonic River, crossesStateBorderBetween, Massachusetts and Connecticut]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crossesStateBorderBetween Context triple: [Housatonic River, crossesStateBorderBetween, Massachusetts and Connecticut]
-
A.
crossesBorderOf
Indicates that one entity passes from one side of the boundary of another entity (typically a region or area) to the other side, traversing its border.
-
B.
hasBorderCrossing
Indicates that there exists a point or facility where movement or transit is possible between the boundaries of two adjacent regions or jurisdictions.
-
C.
crossBorderRegion
chosen
Indicates a region that spans or intersects the boundary between two or more distinct territorial or jurisdictional areas.
-
D.
crossesRegion
Indicates that an entity moves through or passes across the spatial extent of a specified region.
-
E.
nearBorderCrossing
Indicates that an entity is located close to a border crossing point between two regions or countries.
- 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_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8e1fffc81908e4921690098c8db |
completed | March 7, 2026, 7:50 a.m. |
| PD | Predicate disambiguation | batch_69abd812849881908f956845a80e0205 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.