Triple
T3070253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nippon Maru museum ship |
E64001
|
entity |
| Predicate | crossedEquatorTimes |
P11761
|
FINISHED |
| Object | 45 |
—
|
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: 45 | Statement: [Nippon Maru museum ship, crossedEquatorTimes, 45]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crossedEquatorTimes Context triple: [Nippon Maru museum ship, crossedEquatorTimes, 45]
-
A.
hasEquatorCrossing
chosen
Indicates that the path or orbit of an entity crosses the equator of a reference body.
-
B.
hasTropicOfCapricornCrossing
Indicates that the referenced geographic entity is intersected or crossed by the Tropic of Capricorn.
-
C.
hasTropicOfCancerCrossing
Indicates that the specified entity is geographically intersected or crossed by the Tropic of Cancer.
-
D.
crossedKarmanLine
Indicates that an entity has passed beyond the Kármán line, the commonly accepted boundary between Earth's atmosphere and outer space.
-
E.
firstAntarcticCircleCrossingDate
Indicates the date on which an entity first crossed the Antarctic Circle.
- 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.