Triple
T3059062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yorkdale station |
E60549
|
entity |
| Predicate | hasCustomerService |
P31157
|
FINISHED |
| Object | station collector during service hours |
—
|
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: station collector during service hours | Statement: [Yorkdale station, hasCustomerService, station collector during service hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCustomerService Context triple: [Yorkdale station, hasCustomerService, station collector during service hours]
-
A.
hasSupportService
Indicates that one entity provides or is associated with a support-related service for another entity.
-
B.
hasCustomers
Indicates that an entity maintains a business relationship in which other entities purchase or receive its goods or services as customers.
-
C.
hasCustomerAssistanceArea
chosen
Indicates that an entity includes or provides a designated area or facility for assisting customers.
-
D.
hasServiceCenter
Indicates that an entity maintains or is associated with a service center that provides support, repair, or maintenance services.
-
E.
hasServiceTo
Indicates that one entity provides, offers, or operates a service for or directed toward another entity.
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9e1741648190b710b7022252498d |
completed | March 8, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69ad962326e081909d5521c3d3ea3158 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:02 p.m.