Triple
T2693957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 100BASE‑TX |
E58466
|
entity |
| Predicate | categoryMinimum |
P41112
|
FINISHED |
| Object | Category 5 |
—
|
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: Category 5 | Statement: [100BASE‑TX, categoryMinimum, Category 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categoryMinimum Context triple: [100BASE‑TX, categoryMinimum, Category 5]
-
A.
fineMinimumUSD
Indicates the minimum monetary penalty amount, expressed in U.S. dollars, that applies in this context.
-
B.
priceCategory
Indicates the classification of an item or service based on its price level or cost range.
-
C.
lowestCategory
Indicates that an entity belongs to the most specific or least general category within a classification hierarchy.
-
D.
isMinimumWhen
Indicates that a value or state is at its smallest or least level precisely under certain specified conditions or circumstances.
-
E.
minimumNumber
Indicates that the associated value is the smallest or least quantity allowed, required, or observed within a given set or context.
- 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda0f43b08190a5abd936b14603b7 |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd81ea5d88190ab5c8f8b8064b931 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd879bb808190bd2c34de1664c816 |
completed | March 7, 2026, 7:49 a.m. |
Created at: March 6, 2026, 9:54 p.m.