Triple
T11823617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SS Great Western |
E281200
|
entity |
| Predicate | averageAtlanticCrossingTime |
P29135
|
FINISHED |
| Object | about 15 days |
—
|
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: about 15 days | Statement: [SS Great Western, averageAtlanticCrossingTime, about 15 days]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageAtlanticCrossingTime Context triple: [SS Great Western, averageAtlanticCrossingTime, about 15 days]
-
A.
firstAtlanticCrossingYear
Indicates the year in which an entity made its first crossing of the Atlantic Ocean.
-
B.
approximateCrossingTime
Indicates an estimated point in time when one entity is expected to cross or intersect another (such as a path, boundary, or trajectory).
-
C.
dateToReachMediterranean
Indicates the date on which an entity is expected or scheduled to arrive at, or first reach, the Mediterranean.
-
D.
voyageDuration
chosen
Indicates the length of time that a voyage or journey lasts from its start to its end.
-
E.
firstNonStopTransatlanticFlightTo
Indicates that the subject entity completed the first non-stop transatlantic flight whose destination was the object entity.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5e9c50481909b2287a0b23d2094 |
completed | April 10, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69d8a251fc08819095933f1d13c3b742 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.