Triple
T9408910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tasqueña station |
E226656
|
entity |
| Predicate | metroLineTerminusRole |
P15150
|
FINISHED |
| Object | southern terminus of Line 2 |
—
|
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: southern terminus of Line 2 | Statement: [Tasqueña station, metroLineTerminusRole, southern terminus of Line 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metroLineTerminusRole Context triple: [Tasqueña station, metroLineTerminusRole, southern terminus of Line 2]
-
A.
railLineTerminus
Indicates that a rail line ends or terminates at the specified location or station.
-
B.
terminusStation
chosen
Indicates that a station serves as the final endpoint or terminal stop for a given route or service.
-
C.
railroadTerminusFor
Indicates that one location serves as the end point or final station of a particular railroad line for another location.
-
D.
railwayLineRole
Indicates the specific functional role or purpose that a railway line serves within a rail network or transportation system.
-
E.
locatedAtTerminusOf
Indicates that one entity is situated at the end point or final terminus of another entity, such as a route, line, or path.
- 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_69ca843280488190bc65600e843ef9e6 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd52547f0c81908ed4f53b9f05ebaa |
completed | April 1, 2026, 5:13 p.m. |
| PD | Predicate disambiguation | batch_69cca54c37f88190bddccf28e5fe5c84 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:47 p.m.