Triple
T2261182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dyckman Street (A line) |
E50041
|
entity |
| Predicate | isNorthTerminalFor |
P3375
|
FINISHED |
| Object | none |
—
|
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: none | Statement: [Dyckman Street (A line), isNorthTerminalFor, none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNorthTerminalFor Context triple: [Dyckman Street (A line), isNorthTerminalFor, none]
-
A.
terminusNorth
chosen
Indicates that one entity serves as the northern endpoint or final stop of another entity, such as a route, line, or path.
-
B.
isMajorTerminalOf
Indicates that one entity serves as a primary or main terminal (such as a key endpoint or hub) for another entity within a system or network.
-
C.
terminusEast
Indicates that one entity serves as the eastern endpoint or final stop of another entity, such as a route, line, or path.
-
D.
northTerminusType
Indicates the type or nature of the northern endpoint or terminus of a route, line, or similar linear feature.
-
E.
terminusDirection
Indicates the directional orientation or endpoint direction associated with a route, path, or line.
- 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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc2ea65288190bc8644a07a11dfa9 |
completed | March 7, 2026, 6:17 a.m. |
| PD | Predicate disambiguation | batch_69abbdb592588190ac1ef5e8c54575b1 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.