Triple
T22382004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | X-ray free-electron lasers |
E553296
|
entity |
| Predicate | typicalRepetitionRate |
P30901
|
FINISHED |
| Object | from a few Hz to MHz depending on facility |
—
|
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: from a few Hz to MHz depending on facility | Statement: [X-ray free-electron lasers, typicalRepetitionRate, from a few Hz to MHz depending on facility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRepetitionRate Context triple: [X-ray free-electron lasers, typicalRepetitionRate, from a few Hz to MHz depending on facility]
-
A.
typicalNumberOfCycles
Indicates the usual or characteristic count of cycles associated with an entity, process, or event.
-
B.
typicalFrequencyUnit
chosen
Indicates the unit of measurement typically used to express the frequency of an event, action, or occurrence.
-
C.
repetitionOf
Indicates that one entity is a repeated occurrence or instance of another entity, preserving the same content or pattern.
-
D.
typicalPeriod
Indicates the usual or characteristic time interval or duration associated with an event, process, or state.
-
E.
usesRepetition
Indicates that one entity employs repeated elements, actions, or patterns as a deliberate feature or technique in relation to another entity or context.
- 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1582cce608190b5324b30f349a3ff |
completed | April 29, 2026, 1 a.m. |
| PD | Predicate disambiguation | batch_69e73015484c8190a9a0b9f554b61a81 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:45 p.m.