Triple
T2468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osaka Imperial University |
E46
|
entity |
| Predicate | timePeriod |
P302
|
FINISHED |
| Object | pre-World War II |
—
|
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: pre-World War II | Statement: [Osaka Imperial University, timePeriod, pre-World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriod Context triple: [Osaka Imperial University, timePeriod, pre-World War II]
-
A.
focusPeriod
Indicates the specific time span during which attention, activity, or analysis is concentrated on something.
-
B.
endDate
Indicates the point in time at which an event, state, or relationship stops being valid or comes to a conclusion.
-
C.
frequency
Indicates how often an event, action, or relationship occurs within a given period or context.
-
D.
length
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
E.
wasDevelopedInPeriod
Indicates that something was created, produced, or brought into existence during a specified time period.
- 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_69a22cde80848190b62c5f556b4d62ba |
completed | Feb. 27, 2026, 11:46 p.m. |
| NER | Named-entity recognition | batch_69a23344daf8819083118bbac5f46568 |
completed | Feb. 28, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69a232e52e7c81909c072703e28e8c61 |
completed | Feb. 28, 2026, 12:12 a.m. |
| PDg | Predicate description generation | batch_69a233443224819097b91b150fdfbd1a |
completed | Feb. 28, 2026, 12:13 a.m. |
Created at: Feb. 27, 2026, 11:48 p.m.