Triple
T23437191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WLO |
E563495
|
entity |
| Predicate | servesInterchangeWith |
P93851
|
FINISHED |
| Object | National Rail services at London Waterloo |
—
|
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: National Rail services at London Waterloo | Statement: [WLO, servesInterchangeWith, National Rail services at London Waterloo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesInterchangeWith Context triple: [WLO, servesInterchangeWith, National Rail services at London Waterloo]
-
A.
isInterchangeWith
Indicates that two entities can be substituted or exchanged for one another without loss of function, value, or compatibility.
-
B.
servesWith
Indicates that one entity is customarily presented, used, or consumed together with another as a complementary accompaniment.
-
C.
servesIntersection
Indicates that one entity provides service or operational coverage to a specific road or transit intersection.
-
D.
isInterchange
Indicates that two entities can be substituted or exchanged for one another without affecting the relevant system, function, or outcome.
-
E.
interchangeAvailableAt
chosen
Indicates that a transfer or change between different services, routes, or modes of transport is possible at a specified location.
- 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_69e24553980c8190bb66a2ae0bdab125 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5dcd4608190a543cc747e0daab8 |
completed | April 29, 2026, 6:31 a.m. |
| PD | Predicate disambiguation | batch_69f061f92da081908e7f1d0cd1e9b01c |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 5:50 p.m.