Triple
T12539763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newmarket railway station |
E299804
|
entity |
| Predicate | hasCustomerHelpPoints |
P3793
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Newmarket railway station, hasCustomerHelpPoints, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCustomerHelpPoints Context triple: [Newmarket railway station, hasCustomerHelpPoints, yes]
-
A.
hasHelpPoint
chosen
Indicates that one entity provides or contains a designated help or assistance point for another entity.
-
B.
hasCustomerServices
Indicates that an entity provides or is associated with one or more customer service functions or offerings.
-
C.
hasCustomerAssistanceArea
Indicates that an entity includes or provides a designated area or facility for assisting customers.
-
D.
hasCustomers
Indicates that an entity maintains a business relationship in which other entities purchase or receive its goods or services as customers.
-
E.
hasAgencySupport
Indicates that an entity receives backing, assistance, or sponsorship from an agency.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d9540d7b788190a0d57b098e90e491 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.