Triple
T337033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Human Development Index |
E6750
|
entity |
| Predicate | scaleMaximum |
P1938
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Human Development Index, scaleMaximum, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scaleMaximum Context triple: [Human Development Index, scaleMaximum, 1]
-
A.
setsMaximum
Indicates that one entity establishes an upper limit or maximum allowable value for another entity or quantity.
-
B.
isMaximumWhen
Indicates that a quantity or function reaches its greatest possible value under specified conditions or at a particular point.
-
C.
magnitudeScale
chosen
Indicates the scale or measurement system used to quantify the magnitude or intensity of something.
-
D.
maximumService
Indicates that an entity provides the highest allowable or achievable level of service within a given context or system.
-
E.
maximumIntensity
Indicates the greatest level or strength that a quantity, effect, or signal can reach within a given context.
- 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eac950388190829875a07d821ddf |
completed | Feb. 28, 2026, 1:16 p.m. |
| PD | Predicate disambiguation | batch_69a2e94f049881908f10bb6548a8bb2e |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.