Triple
T10617600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese cruiser Yoshino |
E276161
|
entity |
| Predicate | mastConfiguration |
P34324
|
FINISHED |
| Object | 2 military masts |
—
|
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: 2 military masts | Statement: [Japanese cruiser Yoshino, mastConfiguration, 2 military masts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mastConfiguration Context triple: [Japanese cruiser Yoshino, mastConfiguration, 2 military masts]
-
A.
fleetConfiguration
Indicates how multiple vehicles or vessels are organized, arranged, or structured together as a coordinated fleet.
-
B.
numberOfMasts
Indicates the quantity of masts that an entity (such as a ship or vessel) possesses.
-
C.
primaryMirrorConfiguration
Indicates the specific structural and optical setup used for a system’s primary mirror.
-
D.
master
Indicates that one entity has authoritative control, ownership, or primary dominance over another entity or process.
-
E.
mastCount
chosen
Indicates the number of masts associated with or present on a given entity.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df6e2df4819099a19b59d90d0dd1 |
completed | April 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69d6dd7a223c8190854409d76368f3e8 |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 7:33 p.m.