Triple
T12891051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia 3110 classic |
E308363
|
entity |
| Predicate | supportsOrganizerFeatures |
P103410
|
FINISHED |
| Object | calendar |
—
|
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: calendar | Statement: [Nokia 3110 classic, supportsOrganizerFeatures, calendar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsOrganizerFeatures Context triple: [Nokia 3110 classic, supportsOrganizerFeatures, calendar]
-
A.
supportsOrganizerFunctions
chosen
Indicates that an entity provides functionality or assistance that enables or enhances the operations and responsibilities of an organizer.
-
B.
supportsOrganization
Indicates that one entity provides assistance, resources, or advocacy that helps sustain or advance an organization.
-
C.
supportsOrganizationUseCase
Indicates that one entity provides the necessary functionality or conditions for an organization to carry out a specific use case or operational scenario.
-
D.
featuresSupporter
Indicates that one entity serves as a supporter, advocate, or promoter of another entity or its cause.
-
E.
providedByOrganizer
Indicates that something (such as a resource, service, or information) is supplied or made available by the organizer.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97146d2208190be5ae26e51193b67 |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa776648190b9b5c30722ea50b6 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:39 p.m.