Triple
T6864088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Trobe Reading Room |
E158351
|
entity |
| Predicate | isResearchFacility |
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: [La Trobe Reading Room, isResearchFacility, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isResearchFacility Context triple: [La Trobe Reading Room, isResearchFacility, yes]
-
A.
isScientificCenterFor
Indicates that one entity serves as a primary location or institution dedicated to conducting, coordinating, or supporting scientific research, education, or activities related to another entity.
-
B.
hasResearchCentersIn
Indicates that an entity maintains or operates research centers located within a specified place or region.
-
C.
hasResearchHospital
Indicates that an entity possesses, is associated with, or operates a hospital facility dedicated to conducting medical or clinical research.
-
D.
hasResearchInfrastructure
chosen
Indicates that an entity possesses, controls, or provides access to facilities, equipment, or resources used to conduct research.
-
E.
containsResearchStation
Indicates that one entity geographically includes or hosts a research station within its boundaries.
- 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_69c68830cdbc8190a8301c7a9d9f651a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6da3ce95081909a424ac04bc7fa07 |
completed | March 27, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b168908190b2f7c724b1bc7fc9 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:21 p.m.