Triple
T17128225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yamagiri Maru |
E415652
|
entity |
| Predicate | divingLevelRequired |
P103608
|
FINISHED |
| Object | advanced open water or higher |
—
|
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: advanced open water or higher | Statement: [Yamagiri Maru, divingLevelRequired, advanced open water or higher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: divingLevelRequired Context triple: [Yamagiri Maru, divingLevelRequired, advanced open water or higher]
-
A.
hasDiveDifficulty
chosen
Indicates that an action or event of diving is associated with a specified level of difficulty.
-
B.
hasDivingDepth
Indicates that an entity is associated with a specific depth to which it can or does dive.
-
C.
hasDivingComponent
Indicates that an activity, event, or process includes or involves a diving-related element or action.
-
D.
hasDiveType
Indicates that an entity performs or is associated with a specific type or category of dive.
-
E.
diveHeight
Indicates the vertical distance from which a dive is initiated or performed.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f0285a408190ae5e4c4679c07fbf |
completed | April 18, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69e3830192ac819091344a9e5a36c8c9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:36 a.m.