Triple
T18743153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia State Colony for Epileptics and Feeble-Minded |
E458339
|
entity |
| Predicate | numberOfSterilizations |
P133382
|
FINISHED |
| Object | over 7,000 |
—
|
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: over 7,000 | Statement: [Virginia State Colony for Epileptics and Feeble-Minded, numberOfSterilizations, over 7,000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSterilizations Context triple: [Virginia State Colony for Epileptics and Feeble-Minded, numberOfSterilizations, over 7,000]
-
A.
sterilizationMethod
Indicates the technique or procedure used to achieve sterilization in a given context.
-
B.
numberOfWashings
Indicates the count of times a washing or cleaning action has been performed on an entity.
-
C.
reproductiveCare
Indicates the provision or receipt of services, support, or actions related to an entity’s reproductive health and reproductive processes.
-
D.
typicalInfusionCount
Indicates the usual or standard number of infusions associated with a given treatment or protocol.
-
E.
usualMonthsAdministered
Indicates the months in which something, typically a treatment or intervention, is normally administered.
- F. None of above. chosen
Provenance (4 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e57690a4d081908ab4c3890bb07e86 |
completed | April 20, 2026, 12:42 a.m. |
| PD | Predicate disambiguation | batch_69e48d03766c8190a43f7681842f4f8d |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49a9bcc0c81908df3e513fd6762ff |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 11:51 a.m.