Triple
T3070252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nippon Maru museum ship |
E64001
|
entity |
| Predicate | nauticalMilesSailed |
P16230
|
FINISHED |
| Object | over 1,830,000 |
—
|
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: over 1,830,000 | Statement: [Nippon Maru museum ship, nauticalMilesSailed, over 1,830,000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nauticalMilesSailed Context triple: [Nippon Maru museum ship, nauticalMilesSailed, over 1,830,000]
-
A.
distanceTraveled
chosen
Indicates the total length of the path an entity has moved over a period of time or between two points.
-
B.
shipLength
Indicates the physical length measurement of a ship.
-
C.
approximateLengthInMiles
Indicates the estimated distance or extent of something measured in miles.
-
D.
sailPlan
Indicates a plan or arrangement for how a vessel will be sailed, including intended route, timing, and sailing configuration.
-
E.
sailNumber
Indicates the identifying number assigned to a specific sail or sailing vessel, typically used to distinguish it from others.
- 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_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. |
Created at: March 8, 2026, 3:02 p.m.