Triple
T7837041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple glass cube |
E181713
|
entity |
| Predicate | hoursOfAccess |
P79290
|
FINISHED |
| Object | 24 hours a day (historically) |
—
|
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: 24 hours a day (historically) | Statement: [Apple glass cube, hoursOfAccess, 24 hours a day (historically)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hoursOfAccess Context triple: [Apple glass cube, hoursOfAccess, 24 hours a day (historically)]
-
A.
typeOfAccess
Indicates the specific kind or level of access that one entity has to another (such as read, write, or execute permissions).
-
B.
banDurationApproximate
Indicates that the duration of a ban is known only approximately rather than as an exact, precise time period.
-
C.
existencePeriod
Indicates the time span during which an entity exists or is valid.
-
D.
sessionLength
Indicates the duration of time that a particular session lasts from start to end.
-
E.
concessionDuration
Indicates the length of time for which a concession, such as a granted right or privilege, remains valid or in effect between parties.
- 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_69ca8284a25c8190a1a20afad30da792 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb14c203b4819099c039c617628927 |
completed | March 31, 2026, 12:26 a.m. |
| PD | Predicate disambiguation | batch_69cae91e98988190abd4ece75932c589 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7855a3c81908b9318f7186fc0c0 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:46 p.m.