Triple
T740913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Global Innovation Index |
E15240
|
entity |
| Predicate | hasMethodologyComponent |
P750
|
FINISHED |
| Object | input sub-index |
—
|
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: input sub-index | Statement: [Global Innovation Index, hasMethodologyComponent, input sub-index]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMethodologyComponent Context triple: [Global Innovation Index, hasMethodologyComponent, input sub-index]
-
A.
disciplinaryMethod
Indicates a method or approach used to discipline, correct, or control another party’s behavior.
-
B.
assessmentMethod
chosen
Indicates the method or procedure used to evaluate, measure, or judge something.
-
C.
hasApproachType
Indicates the specific method, strategy, or manner in which an action, process, or interaction is carried out or approached.
-
D.
usesComputationMethod
Indicates that an entity performs its processing or decision-making by applying a specified computational method or algorithm.
-
E.
hasCognitiveComponent
Indicates that the related entity or process involves or depends on mental activities such as thinking, reasoning, perception, or understanding.
- 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_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. |
Created at: March 1, 2026, 7:37 p.m.