Triple
T19151049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camden Clark |
E468807
|
entity |
| Predicate | hasSurgicalSuites |
P87984
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Camden Clark, hasSurgicalSuites, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSurgicalSuites Context triple: [Camden Clark, hasSurgicalSuites, true]
-
A.
operatedTheatersIn
Indicates that an entity managed or ran the day-to-day operations of one or more theaters in a specified location or context.
-
B.
hasOperatingTheatres
chosen
Indicates that an entity possesses or includes one or more operating theatres as part of its facilities or infrastructure.
-
C.
surgicalField
Indicates the specific anatomical area or region of the body on which a surgical procedure is performed.
-
D.
operatesTheatre
Indicates that an entity manages and runs the activities of a theatre.
-
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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e97cfaa08190b7085d28fe970108 |
completed | April 20, 2026, 8:53 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b475d88190a8c15e8eb01dbfef |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:06 p.m.