Triple
T1039219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agricultural Research Service |
E22432
|
entity |
| Predicate | numberOfResearchLocations |
P14032
|
FINISHED |
| Object | 90-plus |
—
|
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: 90-plus | Statement: [Agricultural Research Service, numberOfResearchLocations, 90-plus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfResearchLocations Context triple: [Agricultural Research Service, numberOfResearchLocations, 90-plus]
-
A.
hasResearchCentersIn
Indicates that an entity maintains or operates research centers located within a specified place or region.
-
B.
numberOfSites
chosen
Indicates the total count of distinct sites associated with or involved in the given entity or context.
-
C.
researchSite
Indicates that a location serves as a site where research or investigative studies are conducted or based.
-
D.
containsResearchStation
Indicates that one entity geographically includes or hosts a research station within its boundaries.
-
E.
numberOfCampuses
Indicates the total count of campuses associated with a given entity.
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b97c64a88190bf1119fdd4940bf3 |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b729f8488190b2042bd9c625a833 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.