Triple
T1968209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gender Development Index |
E42736
|
entity |
| Predicate | unitOfAnalysis |
P33307
|
FINISHED |
| Object | national level |
—
|
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: national level | Statement: [Gender Development Index, unitOfAnalysis, national level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unitOfAnalysis Context triple: [Gender Development Index, unitOfAnalysis, national level]
-
A.
samplingUnit
Indicates that one entity serves as the basic unit or element from which samples are drawn or measured in a sampling process.
-
B.
unit
Indicates that two quantities are measured using the same standard unit of measurement.
-
C.
componentUnit
Indicates that one entity functions as a constituent or sub-unit that forms part of a larger composite entity.
-
D.
definesUnit
Indicates that one entity specifies the measurement unit or standard by which the value or quantity of another entity is expressed.
-
E.
basedUnit
Indicates that one unit is defined in terms of, or derived from, another more fundamental unit.
- 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_69a88711151c8190940b2572095059d7 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3d05cb88190963039d643bb6637 |
completed | March 7, 2026, 5:12 a.m. |
| PD | Predicate disambiguation | batch_69abaff7d4a48190ab0d51aefb1c4e31 |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb16a6db48190af04012e8ed2269f |
completed | March 7, 2026, 5:02 a.m. |
Created at: March 4, 2026, 7:36 p.m.