Triple
T235023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osaka Castle |
E4489
|
entity |
| Predicate | currentMainKeepCompletedIn |
P1574
|
FINISHED |
| Object | 1931 |
—
|
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: 1931 | Statement: [Osaka Castle, currentMainKeepCompletedIn, 1931]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentMainKeepCompletedIn Context triple: [Osaka Castle, currentMainKeepCompletedIn, 1931]
-
A.
completedIn
chosen
Indicates that an action, process, or task was fully finished within a specified time period or duration.
-
B.
completionRate
Indicates the proportion of a task, process, or set of items that has been finished relative to its total intended amount.
-
C.
hasMajorCurrent
Indicates that an entity currently has a primary field of study or specialization.
-
D.
constructionCompleted
Indicates that a construction process or project has been fully finished and reached its completed state.
-
E.
primaryTask
Indicates that an entity has a main or most important task, role, or function it is responsible for above all others.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25cc9ab2c81909af278a07f86aa1e |
completed | Feb. 28, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69a25b5dc640819092669575731c393f |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.