Triple
T3070251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nippon Maru museum ship |
E64001
|
entity |
| Predicate | voyagesCompleted |
P44253
|
FINISHED |
| Object | over 1,800 |
—
|
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 1,800 | Statement: [Nippon Maru museum ship, voyagesCompleted, over 1,800]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voyagesCompleted Context triple: [Nippon Maru museum ship, voyagesCompleted, over 1,800]
-
A.
visitedCountry
Indicates that an entity has traveled to and spent time in a particular country.
-
B.
subsequentVoyage
Indicates that one voyage occurs after and in sequence to another voyage in time.
-
C.
numberOfMissions
Indicates the total count of missions associated with a given entity or context.
-
D.
hasNumberOfTrails
Indicates the specific count of trails associated with or available in a given entity.
-
E.
numberOfVoyagesToAmericas
Indicates the count of distinct voyages an entity has made to the Americas.
- 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.