Triple
T12195025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Necropolis Railway |
E290564
|
entity |
| Predicate | originalLondonTerminusLocation |
P104248
|
FINISHED |
| Object | near Waterloo, London |
—
|
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: near Waterloo, London | Statement: [London Necropolis Railway, originalLondonTerminusLocation, near Waterloo, London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalLondonTerminusLocation Context triple: [London Necropolis Railway, originalLondonTerminusLocation, near Waterloo, London]
-
A.
primaryLondonTerminal
Indicates that a given station serves as the main London terminal for a particular rail service or route.
-
B.
secondaryLondonTerminal
Indicates that a location serves as a secondary terminal in London associated with a primary London terminal for a given service or route.
-
C.
railwayUpperTerminus
Indicates that a railway line or route reaches its upper (typically higher-altitude or upstream) terminal endpoint at the related location.
-
D.
primaryManchesterStation
Indicates that a given station is the main or principal railway station serving Manchester.
-
E.
adjacentStationTowardsLondonBridge
Indicates that one station is directly next to another along the rail line in the direction heading toward London Bridge.
- F. None of above. chosen
Provenance (4 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d938cd2edc8190b1971349dbc0dee0 |
completed | April 10, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69d91c38321c819080d500d0d64a04f6 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d938ca32908190bd56f563efcbe8a0 |
completed | April 10, 2026, 5:52 p.m. |
Created at: April 8, 2026, 9:50 p.m.