Triple
T18372511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SPEAR3 |
E446218
|
entity |
| Predicate | researchFacilityType |
P105264
|
FINISHED |
| Object | user facility |
—
|
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: user facility | Statement: [SPEAR3, researchFacilityType, user facility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: researchFacilityType Context triple: [SPEAR3, researchFacilityType, user facility]
-
A.
researchInfrastructureType
chosen
Indicates the specific kind or category of research-related infrastructure associated with an entity.
-
B.
researchSite
Indicates that a location serves as a site where research or investigative studies are conducted or based.
-
C.
researchCenter
Indicates that one entity functions as a research center associated with, operated by, or focused on the other entity.
-
D.
isResearchInstitution
Indicates that an entity functions primarily as an organization dedicated to conducting scientific or scholarly research.
-
E.
hasResearchCentersIn
Indicates that an entity maintains or operates research centers located within a specified place or region.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51754539c819083f13b85cacb6cce |
completed | April 19, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69e44fed3fdc81908f4ed6a81db42416 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:45 a.m.