Triple
T19234787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gigabit Media Independent Interface |
E480964
|
entity |
| Predicate | hasReceiveSignals |
P4628
|
FINISHED |
| Object | GMII_RXD[7:0] |
—
|
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: GMII_RXD[7:0] | Statement: [Gigabit Media Independent Interface, hasReceiveSignals, GMII_RXD[7:0]]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReceiveSignals Context triple: [Gigabit Media Independent Interface, hasReceiveSignals, GMII_RXD[7:0]]
-
A.
hasReceiver
Indicates that an entity serves as the recipient or target of something provided, sent, or directed by another entity.
-
B.
hasReception
Indicates that an entity hosts, includes, or is associated with a reception event (such as a formal gathering or welcoming function).
-
C.
canBeSignaledBy
Indicates that one entity is capable of being triggered, notified, or activated by another entity through some form of signaling.
-
D.
hasSignalLine
chosen
Indicates that one entity is connected to another by a signal-carrying line or path used for transmitting information or control signals.
-
E.
hasSignalBox
Indicates that one entity is equipped with, contains, or is associated with a railway signal box used to control train movements.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faec6d0c8190b90cb1bb3160a847 |
completed | April 20, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e4dcfae6f081909cc173cf71a5005c |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:26 p.m.