Triple
T35882161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R45 |
E1037538
|
entity |
| Predicate | associatedStationTerminalFor |
P62405
|
FINISHED |
| Object | R |
—
|
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: R | Statement: [R45, associatedStationTerminalFor, R]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedStationTerminalFor Context triple: [R45, associatedStationTerminalFor, R]
-
A.
associatedStation
Indicates a relationship where one entity is linked or connected to a particular station as its relevant or related station.
-
B.
associatedStationQualifier
Indicates that a station is linked to another station with a specific qualifying role or context (such as type, function, or relationship).
-
C.
associatedWithStationName
Indicates a relationship where something is linked or connected to a particular station identified by its name.
-
D.
associatedStationModule
Indicates a relationship where one entity is linked or connected to a specific station module as its related or corresponding module.
-
E.
associatedWithTerminal
chosen
Indicates that one entity has a defined relationship or linkage to a specific terminal or endpoint within a system or structure.
- 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_69f76e1f4d748190bb55594d8441d70e |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:06 p.m.