Triple
T37298972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese aircraft carrier Chitose |
E925885
|
entity |
| Predicate | conversionStart |
P39633
|
FINISHED |
| Object | 1943 |
—
|
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: 1943 | Statement: [Japanese aircraft carrier Chitose, conversionStart, 1943]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conversionStart Context triple: [Japanese aircraft carrier Chitose, conversionStart, 1943]
-
A.
conversionEvent
Indicates that a user or entity has completed a desired target action (such as a purchase, signup, or other goal) that counts as a successful conversion.
-
B.
conversionTarget
Indicates that one entity serves as the intended outcome, goal, or result that another entity is meant to be converted or transformed into.
-
C.
conversionProcess
chosen
Indicates a process in which something is transformed or changed from one state, form, or representation into another.
-
D.
conversionNarratives
Indicates a relationship where one or more entities describe, recount, or frame the process and experience of undergoing a conversion or significant change.
-
E.
conversionCompleted
Indicates that a previously initiated conversion process has finished successfully.
- 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_69f76eb0f86c819098dee07393e69ec3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:16 p.m.