Triple
T33589036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deep Argo |
E860366
|
entity |
| Predicate | hasSamplingCycle |
P93659
|
FINISHED |
| Object | repeated profiling cycles |
—
|
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: repeated profiling cycles | Statement: [Deep Argo, hasSamplingCycle, repeated profiling cycles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSamplingCycle Context triple: [Deep Argo, hasSamplingCycle, repeated profiling cycles]
-
A.
hasSampling
Indicates that one entity performs, involves, or is associated with the act or process of sampling in relation to another entity.
-
B.
samplingCycle
chosen
Indicates the recurring interval or sequence in which sampling or measurement actions are performed.
-
C.
hasSamplingOption
Indicates that an entity is associated with a specific method or configuration for selecting a subset (sample) from a larger set of data or items.
-
D.
hasBeenSampledIn
Indicates that an entity has been selected or taken as a sample within a specified context, location, or dataset.
-
E.
hasActivityCycle
Indicates that an entity exhibits a recurring pattern or cycle of activity over time.
- 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_69f3497e70e48190951c94d072879bec |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7aa699d68819081ed363931894ab3 |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 1, 2026, 1:40 a.m.