Triple
T16102852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plateau d’Assy |
E390664
|
entity |
| Predicate | sanatoriumActivityPeak |
P65070
|
FINISHED |
| Object | first half of the 20th century |
—
|
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: first half of the 20th century | Statement: [Plateau d’Assy, sanatoriumActivityPeak, first half of the 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sanatoriumActivityPeak Context triple: [Plateau d’Assy, sanatoriumActivityPeak, first half of the 20th century]
-
A.
numberOfHospitalized
Indicates the count of individuals who have been admitted to a hospital for medical care.
-
B.
operationalPeak
chosen
Indicates the highest level or period of performance, capacity, or activity that a system, process, or entity reaches during its operation.
-
C.
hospitalizedIn
Indicates that a person or patient is admitted for medical care and staying as an inpatient in a specified hospital or healthcare facility.
-
D.
epidemicControlActivities
Indicates actions or measures undertaken to prevent, contain, or mitigate the spread and impact of an epidemic.
-
E.
lodgesAt
Indicates that one entity temporarily stays or resides at a particular place or accommodation.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6976ec8190b499e99b196b0285 |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e182804208819087f35307cd6e4103 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5 a.m.