Triple
T2998380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 10BASE5 |
E81124
|
entity |
| Predicate | maximumNetworkSpanWithRepeaters |
P44922
|
FINISHED |
| Object | 2500 meters (typical 802.3 rule) |
—
|
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: 2500 meters (typical 802.3 rule) | Statement: [10BASE5, maximumNetworkSpanWithRepeaters, 2500 meters (typical 802.3 rule)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumNetworkSpanWithRepeaters Context triple: [10BASE5, maximumNetworkSpanWithRepeaters, 2500 meters (typical 802.3 rule)]
-
A.
maximumRepeaters
Indicates the greatest number of repeaters that are allowed or observed within a given system, connection, or configuration.
-
B.
networkLength
Indicates the total measured extent or distance covered by a network (e.g., of connections, links, or paths).
-
C.
maximumStationsPerSegment
Indicates the greatest number of stations that are allowed or can exist within a single segment.
-
D.
minimumCircuitsRequired
Indicates the smallest number of circuits that must be present or used for a given system, configuration, or requirement to be satisfied.
-
E.
maximumChannelWidth
Indicates the greatest allowable or observed width of a channel in the given 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99f766408190a5591efce8346bb9 |
completed | March 8, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69ad9615fefc8190ad96da92519cb7a3 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97ba55dc8190b6dddddfb751cf64 |
completed | March 8, 2026, 3:37 p.m. |
Created at: March 8, 2026, 2:59 p.m.