Triple
T29184592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Building 12 |
E739831
|
entity |
| Predicate | hasImagingFacility |
P144769
|
FINISHED |
| Object | advanced imaging laboratories |
—
|
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: advanced imaging laboratories | Statement: [Building 12, hasImagingFacility, advanced imaging laboratories]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImagingFacility Context triple: [Building 12, hasImagingFacility, advanced imaging laboratories]
-
A.
hasImagingFinding
Indicates that an entity (typically a patient, case, or anatomical region) is associated with a specific observation or result identified through an imaging procedure (e.g., X-ray, CT, MRI).
-
B.
hasImagingType
Indicates the specific imaging modality or technique associated with or used in a given imaging procedure or result.
-
C.
hasFacilityFunction
chosen
Indicates that a facility performs, supports, or is designated for a particular function or operational role.
-
D.
hasFacilityLocation
Indicates that an entity possesses or is associated with a facility situated at a specific location.
-
E.
hasHealthcareInfrastructure
Indicates that an entity possesses facilities, systems, and resources necessary to deliver healthcare services.
- 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_69f07cb74c2c8190ad396487fcb4fde6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6db1f3ec48190a82e7d893d3c76ba |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 28, 2026, 11:59 a.m.