Triple
T22754389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seventh Five-Year Plan of India |
E562797
|
entity |
| Predicate | averageAnnualGDPGrowthTarget |
P14665
|
FINISHED |
| Object | 5.0 percent |
—
|
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: 5.0 percent | Statement: [Seventh Five-Year Plan of India, averageAnnualGDPGrowthTarget, 5.0 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageAnnualGDPGrowthTarget Context triple: [Seventh Five-Year Plan of India, averageAnnualGDPGrowthTarget, 5.0 percent]
-
A.
targetInflationRate
Indicates the inflation level that a monetary authority aims to achieve and maintain over a specified period.
-
B.
inflationTargetCountry
Indicates that a country has adopted or is subject to a specific inflation target as part of its monetary or economic policy.
-
C.
gdpCharacteristic
Indicates a characteristic, attribute, or qualitative aspect associated with a country’s or region’s gross domestic product (GDP).
-
D.
economicGoal
chosen
Indicates that an entity has a targeted economic outcome or objective it aims to achieve.
-
E.
monetaryPolicyGoal
Indicates that one entity specifies or represents the target objectives or intended outcomes of another entity’s monetary policy.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179bb80ac8190b53a1e00704c4ff5 |
completed | April 29, 2026, 3:23 a.m. |
| PD | Predicate disambiguation | batch_69eed2b88d88819096015deb6a648801 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:25 p.m.