Triple
T29243117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pennisetum glaucum |
E741362
|
entity |
| Predicate | hasCenterOfResearch |
P38229
|
FINISHED |
| Object | ICRISAT |
—
|
NE NERFINISHED |
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: ICRISAT | Statement: [Pennisetum glaucum, hasCenterOfResearch, ICRISAT]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCenterOfResearch Context triple: [Pennisetum glaucum, hasCenterOfResearch, ICRISAT]
-
A.
hasResearchCenters
chosen
Indicates that an entity possesses, hosts, or is associated with one or more research centers.
-
B.
hasResearchCentersIn
Indicates that an entity maintains or operates research centers located within a specified place or region.
-
C.
researchCenter
Indicates that one entity functions as a research center associated with, operated by, or focused on the other entity.
-
D.
hasResearchComponent
Indicates that an entity includes, involves, or is associated with a research-related component or activity.
-
E.
hasResearchArea
Indicates that an entity (such as a person, project, or organization) is associated with or focused on a particular field or area of research.
- 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_69f0911dd6fc819097d1abb287016489 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
Created at: April 28, 2026, 12:31 p.m.