Triple
T38033524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windsor & Eton Riverside to London Waterloo line |
E948979
|
entity |
| Predicate | endOnJunction |
P50561
|
FINISHED |
| Object | Windsor & Eton Riverside branch |
—
|
NE NERFINISHED |
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: Windsor & Eton Riverside branch | Statement: [Windsor & Eton Riverside to London Waterloo line, endOnJunction, Windsor & Eton Riverside branch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endOnJunction Context triple: [Windsor & Eton Riverside to London Waterloo line, endOnJunction, Windsor & Eton Riverside branch]
-
A.
terminusJunction
chosen
Indicates a relationship where a route, line, or path ends at a junction point that serves as its terminal connection.
-
B.
atJunctionOf
Indicates that something is located at or directly connected to the point where two or more paths, roads, or lines meet.
-
C.
startJunction
Indicates that one entity functions as the initial junction or branching point from which another entity or process begins.
-
D.
hasRoadJunctionType
Indicates that a road junction has a specific type or classification (e.g., roundabout, intersection, interchange).
-
E.
nearJunctionOf
Indicates that one entity is located close to the point where two or more linear features (such as roads, tracks, or paths) meet or intersect.
- 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_69f76efd1bc48190a729097fe5177b61 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc44c7e73c819082d4fc1900fb9632 |
completed | May 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69fbc8efffbc8190a139798ad1880526 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:20 p.m.