Triple
T5961672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NOAA Ship Ronald H. Brown |
E132651
|
entity |
| Predicate | hasOnboardLaboratories |
P15417
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [NOAA Ship Ronald H. Brown, hasOnboardLaboratories, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnboardLaboratories Context triple: [NOAA Ship Ronald H. Brown, hasOnboardLaboratories, yes]
-
A.
laboratoryModule
Indicates a relationship where an entity is a laboratory module or functions as a lab-specific component or unit within a larger system or structure.
-
B.
hasResearchInfrastructure
chosen
Indicates that an entity possesses, controls, or provides access to facilities, equipment, or resources used to conduct research.
-
C.
hasResearchCenters
Indicates that an entity possesses, hosts, or is associated with one or more research centers.
-
D.
hasResearchCentersIn
Indicates that an entity maintains or operates research centers located within a specified place or region.
-
E.
hasDiscoveryFacility
Indicates that an entity has, is associated with, or is served by a facility where discoveries (such as scientific, medical, or technological findings) are made or were made.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03fb7f8a88190a8bd45208bda4a03 |
completed | March 22, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69c0335a635881909c58c1ef0f97f1e8 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4:02 p.m.