Triple
T30980531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Rwanda |
E789358
|
entity |
| Predicate | topBandWidth |
P170871
|
FINISHED |
| Object | half of flag height |
—
|
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: half of flag height | Statement: [Flag of Rwanda, topBandWidth, half of flag height]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topBandWidth Context triple: [Flag of Rwanda, topBandWidth, half of flag height]
-
A.
upperBandWidth
Indicates the maximum bandwidth limit or upper threshold of data transfer capacity allowed or supported in a given context.
-
B.
hasMaximumBandwidth
Indicates the maximum data transfer capacity that can be allocated, supported, or utilized in a given connection or system.
-
C.
supportsBandwidths
Indicates that an entity is compatible with or can operate using the specified range or set of bandwidth values.
-
D.
lowerBandWidth
Indicates that one entity has a smaller or more limited bandwidth capacity than another.
-
E.
maxTheoreticalBandwidthPerSlot
Indicates the maximum possible data transfer capacity that can be achieved per individual slot under ideal conditions.
- 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_69f224c4831c8190be53924ec25a150a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f695f9fe7c819084322bf6cdc70a13 |
completed | May 3, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_69f695385a2881908cc28ef97fffc867 |
completed | May 3, 2026, 12:22 a.m. |
Created at: April 29, 2026, 8:55 p.m.