Triple
T3274147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RV Kilo Moana |
E68718
|
entity |
| Predicate | deckArea |
P175
|
FINISHED |
| Object | approximately 400 square meters |
—
|
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: approximately 400 square meters | Statement: [RV Kilo Moana, deckArea, approximately 400 square meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deckArea Context triple: [RV Kilo Moana, deckArea, approximately 400 square meters]
-
A.
area
chosen
Indicates that one entity has a measured two-dimensional extent or surface size quantified by another entity.
-
B.
roofArea
Indicates the total surface area covered by the roof of a structure.
-
C.
areaComponent
Indicates that one area is a constituent or sub-area that forms part of a larger area.
-
D.
areaBControl
Indicates that one entity has control or authority over a specific region or area labeled as B.
-
E.
venueArea
Indicates the physical size or spatial extent of a venue, typically measured in units such as square meters or square feet.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adaff74af88190809313743b439ff0 |
completed | March 8, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_69ada420167c81909b6e2702db296d9e |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:10 p.m.