Triple
T3070243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nippon Maru museum ship |
E64001
|
entity |
| Predicate | sailArea |
P44252
|
FINISHED |
| Object | 2760 m² |
—
|
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: 2760 m² | Statement: [Nippon Maru museum ship, sailArea, 2760 m²]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sailArea Context triple: [Nippon Maru museum ship, sailArea, 2760 m²]
-
A.
sailNumber
Indicates the identifying number assigned to a specific sail or sailing vessel, typically used to distinguish it from others.
-
B.
hullType
Indicates the specific structural design or configuration of an object's hull, typically classifying how its outer body or shell is shaped or constructed.
-
C.
wingArea
Indicates the total surface area covered by an entity’s wing or wings.
-
D.
shipLength
Indicates the physical length measurement of a ship.
-
E.
sailPlan
Indicates a plan or arrangement for how a vessel will be sailed, including intended route, timing, and sailing configuration.
- F. None of above. chosen
Provenance (4 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_69ad857a8aec8190bfdfd9c14554ac5a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada100f0b8819095da366fdc6803a8 |
completed | March 8, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69ad9624b7a0819091d255614f5819ea |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f7630c81908e1ca8a69611cff6 |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 3:02 p.m.