Triple
T9360733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | V.I. Vernadsky Institute of Geochemistry and Analytical Chemistry |
E225268
|
entity |
| Predicate | hasResearchFacilityType |
P15417
|
FINISHED |
| Object | laboratory |
—
|
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: laboratory | Statement: [V.I. Vernadsky Institute of Geochemistry and Analytical Chemistry, hasResearchFacilityType, laboratory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResearchFacilityType Context triple: [V.I. Vernadsky Institute of Geochemistry and Analytical Chemistry, hasResearchFacilityType, laboratory]
-
A.
containsResearchStation
Indicates that one entity geographically includes or hosts a research station within its boundaries.
-
B.
hasResearchInfrastructure
chosen
Indicates that an entity possesses, controls, or provides access to facilities, equipment, or resources used to conduct research.
-
C.
hasResearchCentersIn
Indicates that an entity maintains or operates research centers located within a specified place or region.
-
D.
hasFacilityType
Indicates that an entity possesses or is associated with a specific type or category of facility.
-
E.
hasResearchCenters
Indicates that an entity possesses, hosts, or is associated with one or more research centers.
- 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_69ca842bdd648190904131d58620d448 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4ff4268c819099dd5fe79d93e7ea |
completed | April 1, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69cc7a68ab9481909f97cb70764697cc |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:42 p.m.