Triple
T14753406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Time-Of-Flight detector |
E346669
|
entity |
| Predicate | typicalTimeResolution |
P93350
|
FINISHED |
| Object | order of 100 picoseconds |
—
|
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: order of 100 picoseconds | Statement: [Time-Of-Flight detector, typicalTimeResolution, order of 100 picoseconds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalTimeResolution Context triple: [Time-Of-Flight detector, typicalTimeResolution, order of 100 picoseconds]
-
A.
hasTemporalResolution
chosen
Indicates that one entity specifies the level of temporal detail or granularity at which another entity’s data, observation, or process is measured or represented.
-
B.
typicalTimes
Indicates the usual or characteristic times at which an event, activity, or condition typically occurs.
-
C.
timeTravelGranularity
Indicates the level of temporal precision or resolution at which time travel or time-based operations can occur between entities.
-
D.
typicalPeriod
Indicates the usual or characteristic time interval or duration associated with an event, process, or state.
-
E.
timeCharacteristic
Indicates a relationship where one entity specifies a temporal property, feature, or constraint that characterizes another entity or event.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d59df08190a86da5048358bd6e |
completed | April 14, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69de8bf9331481909582045cd567d91f |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:30 a.m.