Triple
T17483271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IEEE 802.3u |
E425715
|
entity |
| Predicate | definesMediumType |
P127625
|
FINISHED |
| Object | 100BASE-TX over two pairs of UTP |
—
|
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: 100BASE-TX over two pairs of UTP | Statement: [IEEE 802.3u, definesMediumType, 100BASE-TX over two pairs of UTP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesMediumType Context triple: [IEEE 802.3u, definesMediumType, 100BASE-TX over two pairs of UTP]
-
A.
canonicalMedium
Indicates the primary or standard medium through which something is most authoritatively or typically expressed, distributed, or experienced.
-
B.
representsMedium
Indicates that one entity serves as the medium, channel, or means through which another entity is expressed, communicated, or realized.
-
C.
definesDeviceType
Indicates that one entity specifies or assigns the device type classification of another entity.
-
D.
stratotypeMedium
Indicates the type of material or medium (e.g., rock, sediment) that serves as the reference standard for a stratigraphic unit or stratotype.
-
E.
introducedInMedium
Indicates that an entity first appears or is initially presented within a specified medium (such as a book, film, game, or other format).
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d06c2881909632845dd7a6b1e3 |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f341c88190adabe526d8903b05 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb37d148190b7f38599c06594ee |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:48 a.m.