Triple
T26928236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Millet Research Station, Coimbatore |
E678141
|
entity |
| Predicate | hasResearchProgramsOn |
P2573
|
FINISHED |
| Object | millet varietal trials |
—
|
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: millet varietal trials | Statement: [Millet Research Station, Coimbatore, hasResearchProgramsOn, millet varietal trials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResearchProgramsOn Context triple: [Millet Research Station, Coimbatore, hasResearchProgramsOn, millet varietal trials]
-
A.
researchProgram
chosen
Indicates that an entity is engaged in, associated with, or part of a structured research initiative or program.
-
B.
hasAcademicProgramsWith
Indicates that two institutions or entities offer or participate in the same or jointly organized academic programs.
-
C.
hasDoctoralPrograms
Indicates that an institution offers one or more doctoral-level academic degree programs.
-
D.
hasDoctoralProgram
Indicates that an institution or academic unit offers and administers a doctoral-level degree program.
-
E.
hasResearchComponent
Indicates that an entity includes, involves, or is associated with a research-related component or activity.
- 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_69eeeb4cac908190a45956c2993d1cc2 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69fe59d11e9881909d2f33b7c717030e |
completed | May 8, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69fe394fdfbc8190a931926ae3635cbf |
completed | May 8, 2026, 7:28 p.m. |
Created at: April 27, 2026, 6:11 a.m.