Triple
T8401257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cleveland Park station |
E198375
|
entity |
| Predicate | hasCustomerServiceFacilities |
P31157
|
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: [Cleveland Park station, hasCustomerServiceFacilities, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCustomerServiceFacilities Context triple: [Cleveland Park station, hasCustomerServiceFacilities, yes]
-
A.
hasFacilities
Indicates that an entity possesses, provides, or is equipped with certain facilities or physical resources.
-
B.
hasMaintenanceFacilities
Indicates that one entity provides or contains facilities where the other entity can be serviced, repaired, or maintained.
-
C.
hasServiceCenter
Indicates that an entity maintains or is associated with a service center that provides support, repair, or maintenance services.
-
D.
hasCustomerAssistanceArea
chosen
Indicates that an entity includes or provides a designated area or facility for assisting customers.
-
E.
hasCustomerServiceChannel
Indicates that an entity provides or is associated with a specific channel or medium through which customer service interactions can occur.
- 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_69ca8310df9c8190b25f16161cca3e41 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb824da3148190bfa3a1abfdfa02de |
completed | March 31, 2026, 8:14 a.m. |
| PD | Predicate disambiguation | batch_69cb70d473dc8190af8ea81ee5aa970d |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:04 p.m.