Triple
T37416129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cyberjaya Utara MRT station |
E929713
|
entity |
| Predicate | hasUnpaidAreaConcourse |
P194541
|
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: [Cyberjaya Utara MRT station, hasUnpaidAreaConcourse, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUnpaidAreaConcourse Context triple: [Cyberjaya Utara MRT station, hasUnpaidAreaConcourse, yes]
-
A.
hasUnpaidAreaTransfer
Indicates that an area transfer between entities has occurred for which the corresponding payment has not yet been made.
-
B.
hasTicketConcourse
Indicates that an entity is associated with or located in a ticket concourse area.
-
C.
hasFarePaidArea
Indicates that an entity includes or is associated with a zone where access is restricted to users who have paid a fare.
-
D.
hasTicketedArea
Indicates that an area is restricted to individuals who possess a valid ticket or fare authorization.
-
E.
hasReservationArea
Indicates that an entity is assigned or associated with a specific reserved area or section designated for its use.
- F. None of above. chosen
Provenance (4 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_69f76ebde49481908566cd96b37ccc84 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd783fed9c81909e792702636c4f1f |
completed | May 8, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69fd7788e63c81909de22fdafcfe41c0 |
completed | May 8, 2026, 5:41 a.m. |
| PDg | Predicate description generation | batch_69fd783e9e5c819087dec7fefa03700d |
completed | May 8, 2026, 5:44 a.m. |
Created at: May 3, 2026, 4:16 p.m.