Triple
T37339299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese aircraft carrier Chiyoda |
E926986
|
entity |
| Predicate | completedConversion |
P6312
|
FINISHED |
| Object | 1 January 1944 |
—
|
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: 1 January 1944 | Statement: [Japanese aircraft carrier Chiyoda, completedConversion, 1 January 1944]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: completedConversion Context triple: [Japanese aircraft carrier Chiyoda, completedConversion, 1 January 1944]
-
A.
conversionCompleted
chosen
Indicates that a previously initiated conversion process has finished successfully.
-
B.
completedFor
Indicates that one entity has finished or fulfilled a task, process, or obligation on behalf of or in service to another entity.
-
C.
completedIn
Indicates that an action, process, or task was fully finished within a specified time period or duration.
-
D.
completedAfter
Indicates that one event or task was finished at a later time than another specified event or task.
-
E.
completionOf
Indicates that one entity represents the finished state, fulfillment, or successful conclusion of another entity, process, or requirement.
- 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_69f76eb4e8a881908bd40da28f36fc7e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:16 p.m.