Triple
T321995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HFS Plus |
E6431
|
entity |
| Predicate | maximumVolumeSize |
P12009
|
FINISHED |
| Object | 8 exabytes (theoretical) |
—
|
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: 8 exabytes (theoretical) | Statement: [HFS Plus, maximumVolumeSize, 8 exabytes (theoretical)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumVolumeSize Context triple: [HFS Plus, maximumVolumeSize, 8 exabytes (theoretical)]
-
A.
maximumService
Indicates that an entity provides the highest allowable or achievable level of service within a given context or system.
-
B.
maximumIntensity
Indicates the greatest level or strength that a quantity, effect, or signal can reach within a given context.
-
C.
maximumVesselType
Indicates the highest or largest class, size, or category of vessel that is allowed, applicable, or associated in a given context.
-
D.
setsMaximum
Indicates that one entity establishes an upper limit or maximum allowable value for another entity or quantity.
-
E.
maximumTrunkDiameter
Indicates the largest thickness of a trunk measured across its widest point.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea81a1e88190b3496070eb3d85f5 |
completed | Feb. 28, 2026, 1:15 p.m. |
| PD | Predicate disambiguation | batch_69a2e948048c819098ba4de9261ef2ef |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea08878c8190a5e8a90f620a3888 |
completed | Feb. 28, 2026, 1:13 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.