Triple
T16104906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janusz Korczak |
E390713
|
entity |
| Predicate | implementedPractice |
P46656
|
FINISHED |
| Object | children's court in the orphanage |
—
|
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: children's court in the orphanage | Statement: [Janusz Korczak, implementedPractice, children's court in the orphanage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: implementedPractice Context triple: [Janusz Korczak, implementedPractice, children's court in the orphanage]
-
A.
usedInPractice
chosen
Indicates that something is actually applied or implemented in real-world practice rather than just being theoretical or proposed.
-
B.
approvedPractice
Indicates that a particular practice, method, or procedure has been formally reviewed and granted official approval for use or adoption.
-
C.
supportedPractice
Indicates that one entity endorses, promotes, or facilitates the use of a particular practice by another entity.
-
D.
describedPractice
Indicates that one entity has provided a description or explanation of a particular practice associated with another entity.
-
E.
implementedProgram
Indicates that an entity has created, developed, or put into operation a particular program or software system.
- 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_69e1ff6b91a48190a04648d4cad2c4b1 |
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.