Triple
T3116703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lao script |
E65078
|
entity |
| Predicate | spaceUsage |
P45438
|
FINISHED |
| Object | spaces used inconsistently between words or phrases |
—
|
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: spaces used inconsistently between words or phrases | Statement: [Lao script, spaceUsage, spaces used inconsistently between words or phrases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spaceUsage Context triple: [Lao script, spaceUsage, spaces used inconsistently between words or phrases]
-
A.
totalSpace
Indicates the overall amount of space or capacity available or occupied by an entity or within a given context.
-
B.
storageRequirement
Indicates the amount or type of storage capacity or resources that an entity needs in order to function or be maintained.
-
C.
installedCapacity
Indicates the maximum output or production capability that has been set up or built for a system, facility, or equipment, typically measured under specified conditions.
-
D.
stateSize
Indicates the relative or absolute physical extent or dimensions of a state, such as its area or population size.
-
E.
platformUsage
Indicates how an entity uses, engages with, or relies on a particular platform for its activities or services.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada4e5d1488190a2ab199625fdf05d |
completed | March 8, 2026, 4:33 p.m. |
| PD | Predicate disambiguation | batch_69ad9df455088190940ad04419772dc8 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f7c21c819087e9992f5fe30a37 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:04 p.m.