Triple
T13049304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese battleship Musashi |
E327406
|
entity |
| Predicate | flagshipPeriodStart |
P12195
|
FINISHED |
| Object | 1943-02 |
—
|
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: 1943-02 | Statement: [Japanese battleship Musashi, flagshipPeriodStart, 1943-02]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flagshipPeriodStart Context triple: [Japanese battleship Musashi, flagshipPeriodStart, 1943-02]
-
A.
flagshipPeriod
chosen
Indicates the time span during which an entity serves as the primary or leading representative (flagship) within a given context or organization.
-
B.
grantPeriodStart
Indicates the date or time at which a grant’s active period or coverage begins.
-
C.
focusPeriodStart
Indicates the point in time at which a specified focus period or interval begins.
-
D.
flagshipStatus
Indicates that an entity holds the primary or most prominent position within a group, organization, or collection, often serving as its leading or representative example.
-
E.
flagshipFor
Indicates that one entity serves as the primary or leading representative example for another entity, often embodying its most important qualities or status.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98a9829b48190b23624b6b3df4600 |
completed | April 10, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69d9803aca4c8190b1015cd159cc47a9 |
completed | April 10, 2026, 10:56 p.m. |
Created at: April 9, 2026, 8:57 p.m.