Triple
T26560169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Ghubaiba Metro Station |
E666216
|
entity |
| Predicate | hasNolCardTopUpFacilities |
P194978
|
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: [Al Ghubaiba Metro Station, hasNolCardTopUpFacilities, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNolCardTopUpFacilities Context triple: [Al Ghubaiba Metro Station, hasNolCardTopUpFacilities, yes]
-
A.
hasOpalTopUpMachine
Indicates that a location or facility is equipped with an Opal card top-up machine for adding credit or purchasing travel value.
-
B.
topUpMethod
Indicates the method or mechanism used to add funds or value to an account, balance, or service.
-
C.
hasGoCardTopUp
Indicates that an entity has performed or is associated with a Go Card balance top-up transaction.
-
D.
hasOpalCardTopUp
Indicates that an entity has performed or received a monetary top-up on an Opal card.
-
E.
topUpLocations
Indicates locations where a balance, credit, or value can be increased or recharged for a related account, service, or device.
- 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_69ee9cf7e94481909f0d556b36e43572 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69fd974d75e08190af46b1d608769f3b |
completed | May 8, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69fd94ff792c8190bedf4a639d3da809 |
completed | May 8, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69fd974c0e8481909fdd312897c647b3 |
completed | May 8, 2026, 7:57 a.m. |
Created at: April 27, 2026, 1:52 a.m.