Triple
T2416492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monkombu |
E52314
|
entity |
| Predicate | hasNotableBearerAchievementContext |
P37786
|
FINISHED |
| Object | Green Revolution in India |
E1121
|
NE FINISHED |
How this triple was built (3 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: Green Revolution in India | Statement: [Monkombu, hasNotableBearerAchievementContext, Green Revolution in India]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Green Revolution in India Context triple: [Monkombu, hasNotableBearerAchievementContext, Green Revolution in India]
-
A.
Green Revolution
chosen
The Green Revolution was a mid-20th-century agricultural transformation that dramatically increased global crop yields through high-yield varieties, synthetic fertilizers, and modern farming techniques, significantly reducing hunger in many developing countries.
-
B.
White Revolution reforms
The White Revolution reforms were a series of modernization and socio-economic changes in Iran during the 1960s and 1970s, including land redistribution, expansion of education, and efforts to rapidly industrialize and Westernize the country under the Shah’s rule.
-
C.
evergreen revolution
The evergreen revolution is an agricultural development concept that seeks to sustainably increase farm productivity without ecological harm, emphasizing environmentally friendly practices and long-term food security.
-
D.
The Violence of the Green Revolution
The Violence of the Green Revolution is a critical analysis by Vandana Shiva examining how industrial agriculture and high-yield crop technologies have harmed ecological systems, small farmers, and food security, particularly in India.
-
E.
Agricultural Revolution in Britain
The Agricultural Revolution in Britain was a period of major changes in farming techniques, land use, and rural society that dramatically increased agricultural productivity and supported rapid population and industrial growth.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableBearerAchievementContext Context triple: [Monkombu, hasNotableBearerAchievementContext, Green Revolution in India]
-
A.
hasNotableBearer
Indicates that an entity (such as a name, title, or identifier) is borne by at least one notable person or entity.
-
B.
hasNotableBearerOccupation
Indicates that an entity is associated with a notable person who holds a specific occupation.
-
C.
hasNotableFieldOfBearers
Indicates that the entities share a significant or distinguished area of activity, expertise, or achievement associated with their bearers.
-
D.
hasTrophyStatus
Indicates that an entity possesses a particular trophy-related status or classification.
-
E.
hasNotablePerformanceIn
Indicates that an entity delivered a significant or distinguished performance within a specified work, event, or context.
- F. None of above. chosen
Provenance (5 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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc94d048481908409d60129aef747 |
completed | March 7, 2026, 6:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf4a784c819082c47e3936242478 |
completed | March 9, 2026, 12:38 p.m. |
| PD | Predicate disambiguation | batch_69abc5a6cbd0819086c0716e266b7ebb |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc6011e348190b6f9c038c7559289 |
completed | March 7, 2026, 6:30 a.m. |
Created at: March 6, 2026, 9:42 p.m.