Triple
T590122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 10BASE-FL |
E17247
|
entity |
| Predicate | nameComponent |
P5298
|
FINISHED |
| Object | 10 indicates 10 Mbit/s |
—
|
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: 10 indicates 10 Mbit/s | Statement: [10BASE-FL, nameComponent, 10 indicates 10 Mbit/s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameComponent Context triple: [10BASE-FL, nameComponent, 10 indicates 10 Mbit/s]
-
A.
partOfName
chosen
Indicates that one string is a component or substring that forms part of another entity’s name.
-
B.
nameOf
Indicates that one entity is the name or designation of another entity.
-
C.
nameType
Indicates the specific category or type of a name associated with an entity (e.g., legal name, nickname, alias, or preferred name).
-
D.
fullName
Indicates that an entity has a complete personal name, typically combining given name(s) and family name into a single string.
-
E.
namePosition
Indicates the positional or ordering relationship of a name within a sequence or structured context (e.g., first, last, or specific index).
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bb8ff0081909cd53d88930e2693 |
completed | March 1, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69a494cc13988190892ca10bd7ae9f09 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.