Triple
T4435456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bessarion |
E95637
|
entity |
| Predicate | hasPrestoCardReaders |
P42029
|
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: [Bessarion, hasPrestoCardReaders, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrestoCardReaders Context triple: [Bessarion, hasPrestoCardReaders, yes]
-
A.
hasPrestoCardSupport
Indicates that an entity supports or is compatible with the use of Presto cards for payment or access.
-
B.
hasPrestoMachines
chosen
Indicates that an entity possesses or is equipped with one or more Presto machines.
-
C.
hasSelfServiceTicketMachines
Indicates that an entity is equipped with self-service ticket machines available for use.
-
D.
hasVIPTerminal
Indicates that one entity possesses or provides access to a VIP (very important person) terminal associated with another entity.
-
E.
hasRetailKiosks
Indicates that one entity operates or maintains retail kiosks associated with or located within 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35589f8608190b0820d36beaacf44 |
completed | March 13, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69b34f6078cc8190831b89f404198cc5 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:31 p.m.