Triple
T19711654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R2 |
E473361
|
entity |
| Predicate | hasStationRole |
P55401
|
FINISHED |
| Object | terminal branch station identifier |
—
|
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: terminal branch station identifier | Statement: [R2, hasStationRole, terminal branch station identifier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStationRole Context triple: [R2, hasStationRole, terminal branch station identifier]
-
A.
associatedWithStationRole
chosen
Indicates that an entity has a connection or involvement with a specific role or function at a station.
-
B.
hasStationAt
Indicates that an entity maintains or operates a station located at a specified place.
-
C.
hasStationManager
Indicates that an entity has another entity serving as its station manager.
-
D.
hasStationFunction
Indicates that an entity serves in a particular functional role or capacity at a station.
-
E.
hasStationTypeAt
Indicates that a specific type of station is present or assigned at a particular location or point.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e64408bde08190aa3bef8516491e03 |
completed | April 20, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69e530438c60819082364c7be3eef6f0 |
completed | April 19, 2026, 7:42 p.m. |
Created at: April 10, 2026, 1:46 p.m.