Triple
T638016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 10BASE2 |
E16666
|
entity |
| Predicate | partOfFamily |
P4276
|
FINISHED |
| Object | 10 Mbit/s Ethernet |
—
|
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 Mbit/s Ethernet | Statement: [10BASE2, partOfFamily, 10 Mbit/s Ethernet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfFamily Context triple: [10BASE2, partOfFamily, 10 Mbit/s Ethernet]
-
A.
familyAspect
Indicates a relationship where one entity is characterized by a particular familial role, status, or aspect in relation to another entity.
-
B.
belongsToFamily
chosen
Indicates that an entity is a member of, or is associated as part of, a specific family group.
-
C.
containsFamily
Indicates that one entity includes or encompasses members of a particular family group within it.
-
D.
family
Indicates a familial relationship or connection between entities, such as being related by blood, marriage, or adoption.
-
E.
spouseFamily
Indicates a family relationship formed through marriage, such as between a person and their spouse’s relatives.
- 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a17b125481909a6ab53424954792 |
completed | March 1, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69a49d0629308190bcc137639567f7c2 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.