Triple
T17298509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RMS Queen Mary |
E419973
|
entity |
| Predicate | convertedToTroopship |
P21289
|
FINISHED |
| Object | 1940 |
—
|
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: 1940 | Statement: [RMS Queen Mary, convertedToTroopship, 1940]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: convertedToTroopship Context triple: [RMS Queen Mary, convertedToTroopship, 1940]
-
A.
conversionOfShip
chosen
Indicates the process by which a ship is altered or transformed from one configuration, role, or specification into another.
-
B.
becameMuseumShip
Indicates that a vessel or ship was converted from active service into a museum exhibit open to the public.
-
C.
commissionedShip
Indicates that a ship has been formally placed into active service, typically following its construction or acquisition.
-
D.
acquiredAsTrainingShip
Indicates that one entity obtained another specifically for use as a training ship.
-
E.
capturedShip
Indicates that one party has taken control of another party's ship, typically by force or seizure.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e438f82788819088ea796850552297 |
completed | April 19, 2026, 2:07 a.m. |
| PD | Predicate disambiguation | batch_69e3b0118ad08190b119cd219c68ba67 |
completed | April 18, 2026, 4:23 p.m. |
Created at: April 10, 2026, 5:41 a.m.