Triple
T1145781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Education Basic Law of Japan |
E23561
|
entity |
| Predicate | cameIntoForceIn |
P6161
|
FINISHED |
| Object | 1947 |
—
|
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: 1947 | Statement: [Education Basic Law of Japan, cameIntoForceIn, 1947]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cameIntoForceIn Context triple: [Education Basic Law of Japan, cameIntoForceIn, 1947]
-
A.
cameIntoForceInYear
chosen
Indicates that a law, agreement, or formal measure became legally effective or operational in a specified calendar year.
-
B.
cameIntoForceInCountry
Indicates that a law, regulation, or agreement became legally effective within a specified country.
-
C.
enteredIntoForceBy
Indicates that a legal instrument, agreement, or provision became legally effective as a result of an action taken by a specified authority, event, or instrument.
-
D.
enteredIntoForce
Indicates that a law, treaty, agreement, or regulation has become legally effective and binding from a specific point in time.
-
E.
inForceSince
Indicates that a rule, law, agreement, or condition has been officially in effect starting from a specified date or time.
- 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc51244c8190bcd533f3e80c8f17 |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4d4104819084027a043c6118cb |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.