Triple
T29097749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knickerbocker Hospital |
E735055
|
entity |
| Predicate | portraysTechnologyLevel |
P2086
|
FINISHED |
| Object | early surgical technology |
—
|
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: early surgical technology | Statement: [Knickerbocker Hospital, portraysTechnologyLevel, early surgical technology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysTechnologyLevel Context triple: [Knickerbocker Hospital, portraysTechnologyLevel, early surgical technology]
-
A.
technologyLevel
chosen
Indicates the degree of technological advancement or sophistication associated with an entity relative to others or to a defined scale.
-
B.
technologyLevelComparedTo
Indicates how the technological advancement of one entity compares relative to that of another entity.
-
C.
interpretsAsTechnology
Indicates that one entity understands, classifies, or treats another entity specifically as a form of technology or technological artifact.
-
D.
technologyLevelComparedToPredecessor
Indicates how the technology level of an entity compares to that of its immediate predecessor.
-
E.
technologyDepiction
Indicates that one entity visually or narratively represents or illustrates a technology associated with another entity.
- 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_69f05b0ed66481908f2e864fa550d2f1 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
Created at: April 28, 2026, 11:10 a.m.