Triple
T28292268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surbiton railway station |
E713459
|
entity |
| Predicate | hasFastServicesTo |
P56946
|
FINISHED |
| Object | central London |
—
|
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: central London | Statement: [Surbiton railway station, hasFastServicesTo, central London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFastServicesTo Context triple: [Surbiton railway station, hasFastServicesTo, central London]
-
A.
hasServiceTo
Indicates that one entity provides, offers, or operates a service for or directed toward another entity.
-
B.
hasServiceSpeed
chosen
Indicates that an entity provides a service operating at a specified speed or performance rate.
-
C.
hasFrequentServices
Indicates that one entity regularly provides or receives services from another entity at short or recurring intervals.
-
D.
hasDirectServices
Indicates that one entity provides services directly to another entity without intermediaries.
-
E.
hasCommercialServices
Indicates that one entity provides or offers commercial services to another entity or within a specified context.
- 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_69efb52371d88190a1381c4e58a3b731 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
Created at: April 27, 2026, 11:30 p.m.