Triple
T10159022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EFnet |
E233840
|
entity |
| Predicate | approximateUserPeak |
P92341
|
FINISHED |
| Object | over 50,000 simultaneous users at historical peak |
—
|
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: over 50,000 simultaneous users at historical peak | Statement: [EFnet, approximateUserPeak, over 50,000 simultaneous users at historical peak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateUserPeak Context triple: [EFnet, approximateUserPeak, over 50,000 simultaneous users at historical peak]
-
A.
usagePeak
Indicates that the usage or consumption of something reaches its highest level or intensity during a particular time or condition.
-
B.
highestPeakAccessed
Indicates that one entity has reached or visited the tallest peak associated with another entity or within a specified context.
-
C.
peakApproximateMa
Indicates that one entity’s peak value is approximately equal to another entity’s peak value.
-
D.
areaPeakApprox
Indicates an approximate measurement or estimation of the peak area associated with an entity or event.
-
E.
historicalPeak
Indicates that the related value or state represents the highest level ever reached by something within a historical or recorded time frame.
- 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_69ca848e80748190b91d1e04d35512c7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec56d944819081bc6ea36c905ba2 |
completed | April 2, 2026, 4:11 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba795808190acc9124c98c6e40f |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4f8f869c8190a82ad040993e0244 |
completed | April 1, 2026, 5:02 p.m. |
Created at: March 30, 2026, 9:09 p.m.