Triple
T15627629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forest |
E375722
|
entity |
| Predicate | screenTimeRelative |
P111202
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Forest, screenTimeRelative, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: screenTimeRelative Context triple: [Forest, screenTimeRelative, high]
-
A.
screenTime
Indicates the amount of time an entity spends viewing or interacting with a screen-based device.
-
B.
screenTimeRelation
chosen
Indicates a relationship between entities based on the amount, duration, or pattern of time spent using screens or digital devices.
-
C.
screenTimeEra
Indicates the period or era during which a particular screen-based technology, medium, or usage pattern is prevalent or characteristic.
-
D.
screenTimeFunction
Indicates a functional relationship that maps an entity (such as a user, device, or app) to the amount of time its screen is active or in use.
-
E.
screenTimePhase
Indicates the specific stage or period within a broader screen-time process, session, or lifecycle that an entity is currently in.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb4301881908c7157227fdf79b6 |
completed | April 16, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69deda868d4481908f4bce1c64d2902a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:14 a.m.