Triple
T10134856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marble Hill–225th Street (IRT Broadway–Seventh Avenue Line) |
E226829
|
entity |
| Predicate | boroughBorderContext |
P12818
|
FINISHED |
| Object | near Bronx–Manhattan boundary |
—
|
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 Bronx–Manhattan boundary | Statement: [Marble Hill–225th Street (IRT Broadway–Seventh Avenue Line), boroughBorderContext, near Bronx–Manhattan boundary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boroughBorderContext Context triple: [Marble Hill–225th Street (IRT Broadway–Seventh Avenue Line), boroughBorderContext, near Bronx–Manhattan boundary]
-
A.
borderedBy
Indicates that one entity shares a common boundary or edge with another entity.
-
B.
borderRegion
chosen
Indicates a region that lies along or near the boundary separating two distinct geographic or political areas.
-
C.
borderingCountryContext
Indicates that one country shares a land or maritime boundary with another within a specified geopolitical or temporal context.
-
D.
borderRiverContext
Indicates that a river serves as or is involved in forming the boundary between two geographic or political regions within a specific contextual setting.
-
E.
countryBorderType
Indicates the type or nature of the border relationship that exists between two 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_69ca8433ec308190b8b25a6fe359c34c |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cde87e1f908190a53865420f2b8f93 |
completed | April 2, 2026, 3:54 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba4f5d88190ba68e63be10b08c7 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:06 p.m.