Triple
T6088146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timepix pixel detector |
E135689
|
entity |
| Predicate | hasTimingCapability |
P68584
|
FINISHED |
| Object | nanosecond-scale time resolution (mode dependent) |
—
|
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: nanosecond-scale time resolution (mode dependent) | Statement: [Timepix pixel detector, hasTimingCapability, nanosecond-scale time resolution (mode dependent)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTimingCapability Context triple: [Timepix pixel detector, hasTimingCapability, nanosecond-scale time resolution (mode dependent)]
-
A.
hasTimer
Indicates that an entity is associated with or controlled by a timer mechanism that measures or limits a duration or interval.
-
B.
hasTimeStart
Indicates that an event, process, or state begins at a specific point in time.
-
C.
hasInterval
Indicates that something is associated with a specific span or range between two points in time, space, or value.
-
D.
hasClock
Indicates that one entity possesses, contains, or is equipped with a clock.
-
E.
hasClockSince
Indicates that an entity has possessed or maintained a clock continuously from a specified point in time onward.
- 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057a6f7588190b265d6005fbaf6b3 |
completed | March 22, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69c049f3b1ec8190bea67a7bec6442a5 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8d4a148190bd8f95caae978e1b |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:12 p.m.