Triple
T36993706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ritsu |
E915173
|
entity |
| Predicate | dateOfFirstCodification |
P24044
|
FINISHED |
| Object | 701 |
—
|
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: 701 | Statement: [Ritsu, dateOfFirstCodification, 701]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfFirstCodification Context triple: [Ritsu, dateOfFirstCodification, 701]
-
A.
timeOfCodification
Indicates the specific point in time at which something (such as a rule, law, or concept) was formally codified or recorded.
-
B.
firstMajorCodificationBy
Indicates that the object is the first major formal codification or systematic recording of the subject.
-
C.
timePeriodOfCodification
Indicates the time period during which something was formally codified or set into an official, systematic form.
-
D.
dateOfFirstStatuteApproval
Indicates the date on which a statute (or legal act) was first formally approved.
-
E.
yearOfPromulgation
chosen
Indicates the specific year in which something, typically a law or formal decree, was officially enacted or put into effect.
- 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_69f76e8f1a8c81909db172ed31304971 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fdf5d05cc481909ec9e1b1f0784279 |
completed | May 8, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69fdf0cdd6948190838864ab3120dfa6 |
completed | May 8, 2026, 2:18 p.m. |
Created at: May 3, 2026, 4:14 p.m.