Triple
T14017592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | India–Japan strategic partnership |
E337240
|
entity |
| Predicate | economicDimensionIncludes |
P46888
|
FINISHED |
| Object | trade |
—
|
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: trade | Statement: [India–Japan strategic partnership, economicDimensionIncludes, trade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: economicDimensionIncludes Context triple: [India–Japan strategic partnership, economicDimensionIncludes, trade]
-
A.
hasEconomicDimension
chosen
Indicates that something involves, affects, or is characterized by economic factors, considerations, or consequences.
-
B.
economicExtensionOf
Indicates that one entity’s economy is heavily dependent on, controlled by, or functions as an outgrowth of another entity’s economic system.
-
C.
economyIncludes
Indicates that an economy encompasses, contains, or is composed of the specified component, sector, or element.
-
D.
economicIntegrationLevel
Indicates the degree to which two or more entities’ economies are interconnected and coordinated through shared markets, policies, or institutions.
-
E.
hasEconomyCharacteristic
Indicates that an economy possesses a particular attribute, feature, or quality.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3b5b088190a58715779d2c46a6 |
completed | April 14, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69de05a802ac819090604025aae6a4d5 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:19 p.m.