Triple
T740930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Global Innovation Index |
E15240
|
entity |
| Predicate | hasIndicatorDimension |
P18856
|
FINISHED |
| Object | institutions |
—
|
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: institutions | Statement: [Global Innovation Index, hasIndicatorDimension, institutions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIndicatorDimension Context triple: [Global Innovation Index, hasIndicatorDimension, institutions]
-
A.
hasDimension
Indicates that an entity possesses a specific measurable extent or size along one or more axes (e.g., length, width, height).
-
B.
numberOfIndicators
Indicates the total count of indicators associated with or relevant to a given entity or context.
-
C.
hasNationalDimension
Indicates that something possesses a scope, relevance, or impact at the level of a nation or entire country.
-
D.
hasStandardizedDimensions
Indicates that an entity conforms to a predefined, uniform set of measurements or size specifications.
-
E.
hasMeasurement
Indicates that an entity is associated with a specific measured value, often including a unit or measurement context.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5f4ccb48190a4eb8679a59d8e24 |
completed | March 1, 2026, 8:47 p.m. |
| PD | Predicate disambiguation | batch_69a4a4fdaaf48190985f62acfc069508 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a5a35c68819082429755c046e9a7 |
completed | March 1, 2026, 8:46 p.m. |
Created at: March 1, 2026, 7:37 p.m.