Triple
T12718142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia 3510 |
E303900
|
entity |
| Predicate | supportsClock |
P5737
|
FINISHED |
| Object | built-in clock |
—
|
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: built-in clock | Statement: [Nokia 3510, supportsClock, built-in clock]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsClock Context triple: [Nokia 3510, supportsClock, built-in clock]
-
A.
hasClock
chosen
Indicates that one entity possesses, contains, or is equipped with a clock.
-
B.
usesClockSystem
Indicates that one entity employs or operates according to the clock or timekeeping system defined or provided by another entity.
-
C.
supportsCountdown
Indicates that one entity enables or provides functionality for a countdown to be initiated, displayed, or managed for another entity.
-
D.
supportsTimescale
Indicates that one entity is capable of operating with, accommodating, or being compatible with a specified timescale or range of temporal resolutions.
-
E.
hasClockInput
Indicates that an entity receives a clock signal from another entity as an input for timing or synchronization purposes.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9625d9da48190ab377f9328a0e1f5 |
completed | April 10, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69d960c088dc8190b0e63312c54e4c6c |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:23 p.m.